Financial Analysis of Biotech Companies According to their
Transcription
Financial Analysis of Biotech Companies According to their
CENTRE DE RECHERCHE RESEARCH CENTER DOCUMENTS DE RECHERCHE WORKING PAPERS – N° 01002 – Financial Analysis of Biotech Companies According to their Involvement in Research. Francis Declerck ESSEC-IMIA July 2001 GROUPE ESSEC CERNTRE DE RECHERCHE / RESEARCH CENTER AVENUE BERNARD HIRSCH - BP 105 95021 CERGY-PONTOISE CEDEX FRANCE TÉL. : 33 (0) 1 34 43 30 91 FAX : 33 (0) 1 34 43 30 01 Mail : [email protected] GROUPE ESSEC, ÉTABLISSEMENTS PRIVÉS D'ENSEIGNEMENT SUPÉRIEUR, ASSOCIATION LOI 1901, ACCRÉDITÉ AACSB - THE INTERNATIONAL ASSOCIATION FOR MANAGEMENT EDUCATION, AFFILIÉ A LA CHAMBRE DE COMMERCE ET D'INDUSTRIE DE VERSAILLES VAL D'OISE - YVELINES. WEB : WWW.ESSEC.FR Financial Analysis of Biotech Companies According to their Involvement in Research. by 1Francis Declerck ESSEC-IMIA (the International Agri-Food Management Institute - ESSEC Business School) B.P. 105 - 95021 Cergy-Pontoise cedex, France Phone: 33 (0)1 34 43 32 66 Fax: 33 (0)1 34 43 32 60 E-mail: [email protected] KEY WORDS: Financial Analysis, Biotechnology, Biotech companies ABSTRACT The financial analysis of sixteen biotech companies is carried in relationship with their research activity according to the following typology: 1/ pure biotech companies, 2/ pharmaceutical companies, and 3/ other medical application companies. Companies studied are: Asta Medica, Amgen, Amershan, Chiron, Evotec, Genset, Genentech, Genzyme, Innogenetics, Qiagen, Eli Lilly, Novartis, Novo Nordisk, Roche, Solvay and Shering. INTRODUCTION In order to understand the determinant of success, a sample of biotech companies is drawn and studied through financial analysis. The paper presents 1/ the typology of biotech companies according to their involvement in research activities, 2/ the sample of sixteen biotech companies, 3/ a financial analysis related to the typology, and 4/ conclusions are inferred. TYPOLOGY OF THE BIOTECH COMPANIES ACCORDING TO THEIR INVOLVEMENT IN RESEARCH ACTIVITY. A sample of sixteen companies involved in international biotech companies is drawn because of available financial data. The sixteen Companies that have been included in this study are directly involved in biotechnology either through research for their pharmaceutical businesses or directly in biotech products. Usually companies start as a pure research companies and move from the development stages to significant Pharmaceutical companies either with drugs or medical applications/devices. Hence these companies can be classified into the following: 1. Pure Biotech Companies: Companies in pure Biotech research and development such as Evotech and Genset. 2. Pharmaceutical Companies: Companies with well-developed pharmaceutical products such as Asta Medica, Amgen, Chiron, Genentech, Genzyme, Innogenetics, Eli Lilly, Novartis, Roche, Solvay and Schering. 1 The author is professor at ESSEC-IMIA (the International Agri-Food Management Institute of the ESSEC Business School) adjunct professor in the department of finance at ESSEC Business School, Cergy-Paris, France. The content of the publication is the sole responsibility of the author and it in no way represents the views of the ESSEC Business School. 1 3. Other Medical Application Companies: Companies having products into other applications or medical devices such as Amersham, Qiagen and Novo Nordisk. Biotech companies are benefiting from increased investments and alliances by drug manufacturers looking to outsource their research into new pharmaceutical areas and biotech firms are providing research and development pipelines as drug patents expire. Most of the acquisition targets have been US based biotech companies, mainly because they are more mature than biotech companies in Europe. Acquirers are more eager for deals with biotech companies whose products are close to commercialization and hence deal prices are based on a biotech company’s R&D and Product potential. (Source: Chemical Market Reporter, Biotech industry continues to consolidate and mature, Oct 18, 1999, F. Mirasol) In 1982 there was virtually no biotech products on the market, but since then many biotech companies have been launched and the main reasons for this growth in biotech have been (Source: Medical Economics, Are biotech stocks finally ready to soar, June 21, 1999, D. Mangan) 1. Speedier FDA (Food & Drug Administration) Approval process. 2. Diseases such as Cancer, Diabetes, cystic fibrosis, multiple sclerosis and AIDS require leading genetic and molecular engineering for providing more effective therapies. 3. Small Biotech companies are becoming the target of alliance / acquisition by large Pharmaceutical majors. Several of the Pharmaceutical majors have their own biotech research divisions, but it makes better business sense to link with pure biotech firms. The suggested approach by D. Mangan to Evaluate biotech companies and their financial performances are based on the following: 1. Biotech companies cannot be evaluated by the traditional methods of financial performance due to lack of earnings and many companies do not have products to sell. Their value stems from the chance their drugs will be approved. Often their reported revenues represents funds from investments or research grants from government or private industry. 2. The Product Pipeline: The Company should have enough products in the developmental pipeline so that even if one fails there will others to depend on. 3. Collaborations such as Marketing and Research arrangements with pharmaceutical giants or majors are leading to substantial payment and cash commitments. 4. Solid Management: Ideally a biotech company should be managed by a team of persons with a track record of shepherding drug discoveries through regulatory hurdles and into the market place. 5. Cash: A company whose product release is years away, requires cash reserves for sustaining it for a long periods of time. 6. Potential Customers for its drugs which will be frequently prescribed such as for cancer, AIDS or other chronic diseases such as diabetes etc. PRESENTATION OF THE BIOTECH COMPANIES STUDIED IN THE SAMPLE. A brief description of lesser known companies under this study and its product strategy and recent major activities are as given below: ASTA MEDICA: This German company has evolved over the years and was started in 1919 as a Chemical Trading Company named “Hening & Kipper in Bielefeld”. In 1983 it was taken over by Degussa and in 1987 it became its fully owned subsidiary. In 1991 it was renamed as ASTA Medica AG. 2 The Worldwide Product Strategy has been to concentrate on areas such a cancer / endocrinology as well as allergies / respiratory disorders with regional focusing in neurology, the central nervous system and the cardiovascular system. q ASTA formed a joint venture with Wallace Laboratories forming Carter-Wallace, Inc in USA, which produces, and markets products developed by ASTA Medica such as the antihistamine nasal spray and a drug for the treatment of serious rheumatism. q In the process of obtaining a license from Hoechst Marion Roussel for the Cancer drug. q In 1997 it introduced a licensed product form Hoffmann La Roche but had to stop it due to suspension of authorization from European Authorities. q ASTA entered in agreement with FH Faulding & Co Ltd of Australia for marketing Cancer products in the clinical sector. q Launch of reproductive treatment products in Western Europe in 1999. AMGEN: One of the best Biotech companies, is based in California, USA and has a large number of products in its pipeline. The Product strategy is concentrated in Hematology/Oncology, Neuroendocrine such as Obesity and Diabetes, Neurodegenerative diseases such as Parkinson’s disease, Inflammatory diseases such as Rheumatoid arthritis, Infectious diseases such as AIDS & Pneumonia, Renal diseases and Osteoporosis. Two drugs are in the Phase 3, two have been filed for regulatory approval and nearly 13 drugs are in the Clinical trials or the Phase 1 & 2 stages. v Amgen is considered as the worlds top Biotech Company. v Investors are betting that Dupont’s target is Amgen. ( Source: Business Week, Dupont and Amgen: Lab Partners? June 1, 1998, Gene G Marcial) v The same source has indicated that Dupont has looked into Amgen’s books and operations. v Dupont was expected to make a Cash offer for a total of $25 billions in 1998 AMERSHAM:The Amersham group based in Sweden consists of the following three companies: • Nycomed Amersham Imaging: is involved in the development, manufacture and supply of in-vivo diagnostic imaging agents, radiotherapy products and Ultrasound contrast media. The imaging agents improve pictures obtained through medical scans, enabling an early detection of illnesses such as cancer or heart diseases. • Amersham Pharma Biotech: is a joint venture created by the 1997 merger of the life sciences business of Nycomed Amersham (55%)and Pharmacia & Upjohn Inc (45%) and is involved in the identification of the genes and proteins which can cause disease, to the search for a possible drug to industrial production of the drug itself. (Source: Chemical Market Reporter, May10,1999. Amersham Pharmacia Biotech fulfils merger potential) • Nycomed Pharma: is a leading pharmaceutical company in the Nordic region with a strong presence in Benelux, Central and Easter Europe with prescription drugs, OTC products and diagnostic testing products for infections and blood sugar levels in diabetics. CHIRON: is a California, USA based Biotech company with business in areas of Cancer, infectious diseases and Cardiovascular diseases. Its products are either sold directly or licensed to marketing partners. Ø In April 1998 Chiron acquired Hoechst AG’s interests in Chiron Gmbh & Co, a vaccines joint venture based in Germany. Ø In June 1998, Chiron & Gen-Probe Inc formed a strategic alliance aimed at the introduction of nucleic acid testing. Ø In November 1998, Chiron completed the sale of its in vitro diagnostics business to Bayer Corporation but retained its blood testing business, including joint ventures with OrthoClinical Diagnostics, Inc and Gen-Probe Inc. 3 EVOTEC: Evotec Biosystems based in Hamburg, Germany has four business units: i. Drug Discovery Technology unit collaborates with third parties such as Novartis, SmithKline Beecham and Pfizer ii. Drug Discovery Services unit, which enters into service contracts with, third parties to provide screening assay development and other early drug services for a fee. iii. Drug Discovery Products Unit iv. Instruments Unit, which designs and sells instruments used in drug discovery process. § In November 1999 it made Public Offering of its Shares. § In March 2000 Evotec agreed to apply its screening systems to a cancer research collaboration with Sugen Inc. a biotechnology unit of Pharmacia & Upjohn Inc.( Source: Wall Street Journal, March 3-4, 2000.) GENSET: is a Paris based biotech firm founded in 1989 by France Biotech and is involved in Genomics research for discovery of Genes involved in common diseases and drug response. Its corporate partners are Abbott Laboratories, Ceres, Genetics Institute, J&J/Janssen Pharmaceutica, Pharmacia & Upjohn and Wyeth. In March Genset entered into an agreement with Abbott Laboratories to hunt genes linked to adult-onset diabetes and bipolar disorder, a mental disorder also known as manic depression. ( Source: Wall Street Journal, March 3-4, 2000.) GENENTECH: A California based biotech company was founded in 1976 by a venture capitalists and the scientist who pioneered recombinant DNA technology and the first drug was human insulin. Genentech went public in 1980 and last year its groundbreaking breast cancer drug won FDA approval. 8 Genentech is considered to be a biotech leader. 8 Genentech has five products on the market, including growth hormone and at least 13 drugs are in clinical trials. Some of these involve new uses for exiting Genetech compounds. 8 The company has research and development agreements with several pharmaceutical and biotech companies. 8 Genentech has the foreign marketing rights for a drug discovered by Idec Pharmaceuticals. 8 In 1999 June, it was expected that Genentech would have been acquired by Roche. (Source: Medical Economics, Are biotech stocks finally ready to soar, June 21, 1999, D. Mangan) GENZYME: a Massachusetts based biotech company having products in Therapeutics, Diagnostics and Surgical Products. It has a good product pipeline with 6 products to be launched in 2000 and 8 therapeutic products to be launched in 2001. The Genzyme corporation consists of three group companies, which are Genzyme General, Genzyme Tissue Repair and Genzyme Molecular Oncology. INNOGENETICS: was founded in 1985 based in Belgium and engaged in the discovery, development and marketing of diagnostic products and the discovery and development of therapeutic products. The five disease areas are infectious diseases, tissue repair and immune, neurodegenerative and genetic disorders. In 1998 the takeover of Murex by Abbott Laboratories, affected its distribution of diagnostic products as Murex was the important distributor for Innogenetics. In end 1998 Innogenetics & Abbott were negotiating for the continuation of the Murex Sales contract. 4 Innogenetics entered into a research and development collaboration and supply agreement with Cepheid. Innogenetics took a strategic investment in Thallia Pharmaceuticals in France. Established a new company in USA for the introduction of its products in US. QIAGEN: based in Netherlands produces and distributes biotechnology products primarily for the separation and purification of Nucleic Acids – DNA & RNA. The company also assembles and distributes certain robotic equipment to be used with its products. It has wholly owned subsidiaries in Germany, USA, UK, Switzerland, France, Australia, Canada and Japan. FINANCIAL ANALYSIS The financial analysis of the sixteen biotech companies is conducted in order to understand the determinants of success. The analysis focuses on the following ratios: profitability ratios, liquidity ratios, asset management ratios, debt management ratios, R&D expenditures, value added ratio. Profitability Ratios: Asta Medica, Evotec, Genset and Innogenetics have Negative Profit Margin on Sales and Amgen has the highest Profit Margin on Sales. The reason for Genset’s high profit margins is due to the new products, which are still under patent, and is able to command a high price in the market. The Pure Biotech companies such as Evotec and Genset are yet to make their research profitable. The Medical Devices / Applications companies have lower profit margin in comparison to the pharmaceutical companies. Similarly the Return on Total Assets are negative for Asta Medica, Evotec, Genset and Innogenetics. Amgen has the best Return on the Total Assets and has been able to utilize its assets better than any company under study. Among the pharmaceutical majors Solvay and Schering has the lowest returns at 5% as they do not have any profitable products and hence will looking for buying new successful products under patents either through mergers with smaller Biotech companies or buying the license for such new products. The Return on Equity has been the best for Amersham at 48% closely followed by Eli Lilly at 47%. Amgen also has a good Return on Equity at 33%. Chiron, Genentech and Genzyme have the lowest returns among the pharmaceutical companies. Liquidity Ratios: The Liquidity ratios consisting of Current and Quick ratios are higher for Research companies such as Evotec and Genset because the Current liabilities consisting especially of Accounts Payable will be lower as they have much lower Inventory which uses the Working Capital. Among the pharmaceutical companies, Genentech has a high Liquidity Ratio because they have just successfully transformed themselves from a pure research company into a pharmaceutical company but they still concentrate on basic development activities. Apart from this they outsource many of their marketing activities. Other pharmaceutical majors have better liquidity ratios except Solvay and Asta Medica and the new pharmaceutical companies such as Amgen, Chiron, Genzyme and Innogenetics have better liquidity than the older and well established pharmaceutical companies such as Eli Lilly, Novartis, Roche and Schering. This can be due to the fact that the newer pharmaceutical companies have still basic Research activities as part of their sales and outsource a major part of their marketing to other large pharmaceutical majors. 5 Medical Application / Devices companies such as Amersham, Qiagen and Novo Nordisk have the lowest Liquidity Ratios as they have higher Account receivables and Inventories and hence higher Working Capital required for their operations. Asset Management Ratios: Among the Research companies Evotec has no inventory and among the pharmaceutical companies Genentech has the lowest Inventory Turnover Ratio and Solvay has the highest and the Medical Device companies have equally better Inventory Ratios. The Fixed Assets Turnover Ratio and Total Assets Turnover Ratio is the lowest for the Research companies - Evotec and Genset. Among the pharmaceutical companies Innogenetics has the lowest FA turnover Ratio and Total Assets Ratio. The other reasons can be that the Research or the Pure Biotech companies such as Evotec and Genset and Innogenetics are New companies with their Fixed Assets not much depreciated in comparison to the older companies in the pharmaceutical and medical applications or devices companies. Debt Management Ratios: The Debt Ratio of new pharmaceutical and biotechnological companies are much lower than the older and established companies. Genentech has the lowest Debt Ratio of 18% whereas the Amersham has the highest Debt ratio of 84% followed by Asta Medica. The reason for Amersham having the highest Debt can due to the fact that it had undergone a merger in 1997 and Asta Medica has been not performing well and hence has borrowed more to cover its losses. The Debt on Equity Ratio is the lowest for Innogenetics, Amgen, Genentech and Qiagen. All these companies are new companies which, will be having a large part of investments made through their own equity rather than debts as in the older and established companies. R & D Expenditure: The Pure Biotech / Research companies such as Evotec and Genset spend more than 100% of its Sales on R&D as they require new successful products for becoming profitable. The Medical Applications / Devices companies such as Amersham, Qiagen and Novo Nordisk has the lowest R&D spends ranging from 10% to 19 %. Among the pharmaceutical companies Chiron has the highest R&D spend at 40% followed by Genentech at 37% whereas Solvay has the lowest R&D spends at 4% as they might be/planning to outsource their research to smaller Biotech companies. Value Addition: The Medical Application / Devices companies such as Amersham, Qiagen and Novo Nordisk have better Value Addition – EBITDA on Sales in comparison to the pharmaceutical companies. Among the pharmaceutical companies Amgen has the highest Value addition of 50% of its Sales value and Asta Medica has the lowest followed by Solvay. Similarly looking at the Interest and Sales & Administration Expenses on the EBITDA Amgen is the best managed company among all of them. Though Genentech, Novartis, Schiring and Roche have lower interest charges but their Sales & Administration expenses are on the higher side. The Interest Management is better by the Older and established companies than the new companies. Similarly the Accounts Receivables is the lowest for Amgen and hence is able to manage its business better. The Pure Biotech / Research companies such as Evotec and Genset have very poor Accounts Receivables Management. 6 CONCLUSION It is possible to infer specific financial characteristics according to the strategic activities chosen by biotech companies: Pure Biotech / Research companies: Both Evotec and Genset are not making any Profits, but Genset is the better in terms of Debt Management, Profitability and Value Addition. The Accounts Receivable of Evotec is better than Genset as they have fewer and well-established large companies as their customers such as Novartis, SmithKline Beecham and Pfizer . Pharmaceutical Companies: Among the pharmaceutical companies of Asta Medica, Amgen, Chiron, Genentech, Genzyme, Innogenetics, Eli Lilly, Novartis, Roche, Solvay and Schering, AMGEN overall is the best biotech and pharmaceutical company. Amgen is the best on all the following aspects: 1. Asset Management. 2. Profitability. 3. Value Addition. 4. Lower Debt in comparison to the Equity. 5. Lowest Financial Debt in comparison to the Total Liabilities. 6. Lowest proportion of Accounts Receivables and best Cash generation. 7. Lowest Interest burden. 8. Lowest Selling & Administrative Expenses. 9. The Best Product Pipeline with record of successful Products. 10. Higher R&D Expenditure at 24% of Revenues. 11. Management with successful track records. 12. Products are in areas of great demands such as Obesity, Arthritis, Parkinson’s Disease, AIDS and other infectious Diseases. Eli Lilly has the highest Return on Equity, and has the lowest Working Capital / Sales ratio and is the next best interms of Value Addition. Thus Eli Lilly can be considered as the best older pharmaceutical company. Among the pharmaceutical companies Genentech has the highest R&D Expenditure followed by Amgen. This can be due to the reason that Genentech is still in the transition stage to a successful pharmaceutical company. Medical Application Companies: Among these three companies consisting of Amersham, Qiagen and Novo Nordisk the performance is varying on different aspects, which might be due to the differences in the Product Markets and customers . On the Liquidity and Asset Management Qiagen is the best followed by Novo Nordisk and then by Amersham. On the Profit Margin on Sales, Novo Nordisk is best of the three companies, but the Return on Equity of Amersham is the best at 48%. The R&D Expenditure of Novo Nordisk is the highest at 19% followed by Qiagen and Amersham. The Value Addition of Amersham is the best followed by Novo Nordisk and Qiagen. The Interest burden of Novo Nordisk is the lowest but the Selling Administrative Expenses of Amersham is the lowest of the three. On the Financial Debt as proportion of the Total Liabilities, Qiagen has the lowest followed by Novo Nordisk and Amersham. 7 REFERENCES Amgen, Annual Report 1998; wwwext.Amgen.com Asta Medica, Annual Report 1997 / 1998. www.astamedica.de Chiron Corporation, Annual Report 1998. www.chiron.com Evotec BioSystems AG, Offering Circular, 8th November, 1999. Eli Lilly Annual Report 1998; www.lilly.com Genset Annual Report 1998, www.genset.fr Genentech, Inc. 1998 Annual Report; www.gene.com Genzyme General 1998 Annual Report; www.genzyme.com Innogenetics NV,Consolidated Financial Statements, December 31, 1998. www.innogenetics.be Qiagen N.V, Annual Report 1998. www.qiagen.com Novo Nordisk, Consolidated Accounts & Annual Accounts for 1998. www.novo.dk Novartis Annual Report 1998; www.novartis.com Nycomed Amersham plc, Annual Report and Accounts 1998. Roche Annual Report 1998; www.roche.com Solvay group Annual Report 1998; www.solvay.com Schering Annual Report 1998; www.schering.de List of Links to Biotech Companies; www.mpiz-koeln.mpg.de/~amica/links/companies.html Biotech companies on the web; http://cbweb.med.harvard.edu/research/biotech_listings.html Companies & Biotechnology; www.medwebplus.com/subject/companies/biotechnology.3.html Biotechnology Industry Organization; http://www.bio.org/links/food&ag.html Arnum, P.V., “MedImmune to acquire US Bioscience in $440 million biotech deal” Chemical Market Reporter, New York; September 27, 1999. Chang, Joseph., “ A new blueprint in biotech financing” Chemical Market Reporter, New York; November 9, 1998. Darby, Rose, “ Healthcare Financing Hits many a pothole in 1998: But it has strengths, too, like M&A, as clouds remain for 99” The Investment Dealer’s Digest: IDD; New York; Jan 11,1999. Gopal, Kevin; “Slow Progress” Pharmaceutical Executive; Eugene; June 1998. 8 Koberstein, Wayne; “Part II: A conversation with Sir David Barnes, CEO of Zeneca” Pharmaceutical Executive; Eugene; October 1998. Les Echos, “Importante fusion dans la biotechnologie britannique” Les Echos, Juin 16, 1999. Mangan, Doreen; “ Are biotech stocks finally ready to soar?” Medical Economics; Oradell; June 21, 1999. Marcial, Gene. G, “Alza: Pepped up over Proteins” Business Week; New York; March 24, 1997. Marcial, Gene. G, “Dupont and Amgen: Lab Partners?” Business Week; New York; June 1, 1998. Marcial, Gene. G, “Making a Rush for Sugen” Business Week; New York; September 21, 1998. Mirasol, F, “ Biotech industry continues to consolidate and mature” Chemical Market Reporter, New York; October 18, 1999. Moore D. Stephen; “An About-Face on Life-Sciences Model” The Wall Street Journal Europe, December 3-4, 1999. Moore D. Stephen; “ Glaxo, SmithKline Vow to Outrun Rivals” The Wall Street Journal Europe, January 18, 2000. Moore D. Stephen; “ Biotech Alliance Targets Drug Giants ” The Wall Street Journal Europe, March 2, 2000. Moore D. Stephen; “ European Biotechnology Companies Expand Scope Under 3 Agreements ” The Wall Street Journal Europe, March 3-4, 2000. Moore D. Stephen; “ Biotech Frenzy Boosts Cambridge After Offering News” The Wall Street Journal Europe, March 8 ,2000. Nielsen, Karol. “ Drug biotech firms pick up the M&A pace” Chemical Week; New York; November 17, 1999. Papanikolaw, Jim. “Aventis emerges as a leader in Ag biotech” Chemical Market Reporter; New York; December 14, 1998. Papanikolaw, Jim. “UK Biotech industry consolidates as Celltech buys Medeva for $915mm” Chemical Market Reporter; New York; November 15, 1999. Serb, Chris. “Boom vs. bust” Hospitals & Health Networks; Chicago; March 1999. Thompson, Andy. “ Biotech merger boosts IBT ” European Venture Capital Journal; London; August 1, 1999. 9 10 Table : Financial Analysis of BIOTECH Companies. COMPANY ASTA MEDICA Head-Office Year of Incorporation. Financial Statement for the YEAR Products: AMGEN California, USA Parent Company: Frankfurt, Germany 1987 1998 Cancer, Allergies, Respiratory Neurology Cardio Vascular Degussa BALANCE SHEET DM m $m 37,54 17,04 270,50 284,63 0,00 609,71 0,00 270,10 446,63 45,91 201,10 1074,90 319,90 110,80 156,60 1863,30 0,00 0,00 1450,20 358,70 1372,35 3672,20 DM m 81,94 738,21 820,15 205,53 1025,68 100,81 245,86 346,67 $m 121,60 765,40 887,00 223,00 1110,00 1671,90 890,30 2562,20 1372,35 3672,20 Assets: Cash & Cash Equivalents. Marketable Securities Accounts Receivables Inventories Other Current Assets Total Current Assets Long-term investments Intangible Assets Net Property, Plant & Equipment Other Assets Total Assets Liabilities & S.Equity: Accounts Payable Other Current Liabilities Total Current Liabilities Long Term Liabilities: Total Liabilities Shareholders Equity Retained Earnings Total Shareholder's Equity Total Liabilities+S.holder's Equity 1998 Hematology/Oncology Neuroendocrine Inflammatory diseases Infect & Renal Diseas AMERSHAM England, UK. 1982 1998 In-vivo diagnostic imaging, radio-therapy, research based biotechnology, OTC & prescription drugs. £m 70,10 77,20 424,50 214,90 0,00 786,70 57,40 161,50 534,30 1539,90 £m 126,40 493,20 619,60 667,30 1286,90 203,30 49,70 253,00 1539,90 Table : Financial Analysis of BIOTECH Companies. COMPANY INCOME STATEMENT ASTA MEDICA AMGEN AMERSHAM Revenues in Million US $ 731,53 DM m 1593,05 645,98 947,06 633,66 242,13 87,21 963,00 -15,94 39,97 24,04 21,27 2,77 7,33 2718,20 $m 2718,20 345,20 2373,00 515,40 663,30 5,60 1184,30 1188,70 35,70 1224,40 10,00 1214,40 361,20 1947,31 £m -4,57 853,20 0,00 106,05 130,08 3,39 143,80 1368,20 Revenues Cost of Sales Gross Profit Selling, Gen & Admin Expenses Research & Development Expenses Other Operating Expenses Total Operating Expenses Income from Operations Other Income Earnings before Int & Tax(EBIT) Interest Expense Earnings before Taxes ( EBT ) Income Tax Net Income Earnings Per Share ( EPS ) Depreciation EBITDA 1323,80 467,00 856,80 486,60 130,20 6,00 622,80 214,70 20,10 234,80 31,30 203,50 81,30 122,20 0,19 206,60 441,40 Table : Financial Analysis of BIOTECH Companies. COMPANY ASTA MEDICA AMGEN Current Ratio (Current Assets/Current Liabilities) Quick Ratio(Curn Assets-Invntory/Curn Liabilities) 0,74 0,40 2,10 1,98 1,27 0,92 Inventory Turnover Ratio(Cost of Sales/Inventory) Fixed Assets Turnover(Revenues / Net Fixed Assets) Total Assets Turnover(Revenues / Total Assets) Debt Ratio (Total Debt/Total Assets) 2,27 3,57 1,16 0,75 3,12 1,87 0,74 0,30 2,17 2,48 0,86 0,84 Profit Margin on Revenues (%) (Net Income) Profit Margin on Revenues (%) (EBIT) Return on Total Assets (Net Income/Total Assets) Return on Total Assets (EBIT/Total Assets) Return on Equity R&D Exp on Revenues -0,29% 1,51% -0,33% 1,75% -1% 15% 31% 45,04% 23% 33,34% 33% 24% 9% 18% 8% 15% 48% 10% EBITDA / Revenues R & D Expenses / EBITDA Interest / EBITDA Selling & Admn Expn / EBITDA 8% 186% 16% 487% 50% 48% 0,73% 38% 33% 29% 7% 110% Debt / Equity Capital Financial Debt / Total Liabilities. Working Capital / Revenues(days) Accounts Receivables / Revenues (days) 0,59 20,04% -48,22 61,98 0,09 20,09% 131,10 42,96 2,64 51,85% 46,07 117,04 AMERSHAM Table : Financial Analysis of BIOTECH Companies. COMPANY CHIRON Head-Office Year of Incorporation. Financial Statement for the YEAR Products: California, USA Parent Company: BALANCE SHEET 1998 Cancer, Infectious & Cardiovascular diseas, Blood Testing, HIV, Vaccines. Novartis (thru Ciba'95) $m Assets: Cash & Cash Equivalents. Marketable Securities Accounts Receivables Inventories Other Current Assets Total Current Assets Long-term investments Intangible Assets Net Property, Plant & Equipment Other Assets Total Assets Liabilities & S.Equity: Accounts Payable Other Current Liabilities 513,32 716,63 169,10 79,87 152,73 1631,64 360,07 166,70 303,38 62,47 2524,26 $m Total Current Liabilities Long Term Liabilities: Total Liabilities Shareholders Equity Retained Earnings Total Shareholder's Equity Total Liabilities+S.holder's Equity 45,00 512,42 557,42 421,04 978,45 1543,54 2,26 1545,80 2524,26 EVOTEC Hamburg, Germany. 1993 1998 Designs & Develops Ultra-High Screening to increase Speed of Drug Discovery ---DM m GENSET Paris, France 1989 1998 Genomics research discovery of Genes involved in Common diseases & drug respn France Biotech $m 1998 Medicines for TEN serious medical condtn like Growth Hormones Cancer etc. $m 119,28 52,03 52,03 California, USA 58,94 0,00 12,63 1,22 1,92 74,71 2,28 11,29 30,34 0,65 31,18 4,38 3,81 0,86 1,79 42,01 0,00 0,00 9,54 0,48 DM m 2,16 5,88 8,04 16,94 24,98 52,61 -25,56 27,05 GENENTECH $m 281,16 606,54 149,74 148,63 55,89 1241,96 716,89 0,00 700,25 196,31 2855,40 $m 13,29 8,23 21,52 9,42 30,93 128,32 -39,98 88,34 119,28 40,90 250,43 291,33 220,23 511,56 1591,53 752,31 2343,85 2855,40 Table : Financial Analysis of BIOTECH Companies. COMPANY INCOME STATEMENT CHIRON EVOTEC GENSET GENENTECH Revenues in Million US $ 736,67 $m 6,56 DM m 14,29 0,30 13,99 9,66 16,20 0,00 25,86 -11,87 0,94 -10,93 0,00 -10,93 0,00 31,60 $m 1062,18 $m Revenues Cost of Sales Gross Profit Selling, Gen & Admin Expenses Research & Development Expenses Other Operating Expenses Total Operating Expenses Income from Operations Other Income Earnings before Int & Tax(EBIT) Interest Expense Earnings before Taxes ( EBT ) Income Tax Net Income Earnings Per Share ( EPS ) Depreciation EBITDA 736,67 178,06 558,61 140,44 294,25 39,03 473,72 84,90 34,76 119,66 24,67 94,98 18,99 76,00 2,95 107,86 227,52 -10,93 0,00 3,05 -7,89 31,60 3,13 28,47 11,64 39,60 0,00 51,25 -22,78 6,16 -16,62 0,66 -17,28 0,00 -17,28 -2,37 4,57 -12,05 1062,18 138,62 923,56 358,93 396,19 0,00 755,12 168,44 88,76 257,20 4,55 252,65 70,74 181,91 1,45 78,10 335,30 Table : Financial Analysis of BIOTECH Companies. COMPANY CHIRON EVOTEC GENSET GENENTECH Current Ratio (Current Assets/Current Liabilities) Quick Ratio(Curn Assets-Invntory/Curn Liabilities) 2,93 2,78 5,23 5,12 3,47 3,42 4,26 3,75 Inventory Turnover Ratio(Cost of Sales/Inventory) Fixed Assets Turnover(Revenues / Net Fixed Assets) Total Assets Turnover(Revenues / Total Assets) Debt Ratio (Total Debt/Total Assets) 2,23 2,43 0,29 0,39 1,50 0,27 0,48 2,57 1,04 0,26 0,26 0,93 1,52 0,37 0,18 Profit Margin on Revenues (%) (Net Income) Profit Margin on Revenues (%) (EBIT) Return on Total Assets (Net Income/Total Assets) Return on Total Assets (EBIT/Total Assets) Return on Equity R&D Exp on Revenues 10% 16% 3% 5% 5% 40% -76% -76,48% -21% -21,01% -40% 113% -55% -53% -14% -14% -20% 125% 17% 24% 6% 9% 8% 37% EBITDA / Revenues R & D Expenses / EBITDA Interest / EBITDA Selling & Admn Expn / EBITDA 31% 129% 11% 62% -55% -205% 0% -123% -38% -329% -5% -97% 32% 118% 1,36% 107% 0,27 43,03% 532,24 83,78 0,63 67,82% 867,40 97,19 0,11 30,44% 614,53 145,90 0,09 43,05% 326,67 51,46 Debt / Equity Capital Financial Debt / Total Liabilities. Working Capital / Revenues(days) Accounts Receivables / Revenues (days) Table : Financial Analysis of BIOTECH Companies. COMPANY GENZYME Head-Office Year of Incorporation. Financial Statement for the YEAR Products: Massachusetts, USA. 1998 Therapeutics, Surgery, Diagnostics, Orthopedics &Molecular Cancer therapies. INNOGENETICS QIAGEN ELI LILLY Belgium. 1985 1998 Infectious Diseases, Tissue repair, Immune, neurodegenerative & Genetic disorders. Netherlands USA 1998 Products for seperation & purification of DNA /RNA used by Genome sequencing industries. 1998 Neurosciences,Endocrinology Anti-infectives,Cardiovascular Gastrointestinal, Oncology, Animal Health & Others. Parent Company: BALANCE SHEET $m Assets: Cash & Cash Equivalents. Marketable Securities Accounts Receivables Inventories Other Current Assets Total Current Assets Long-term investments Intangible Assets Net Property, Plant & Equipment Other Assets Total Assets Liabilities & S.Equity: Accounts Payable Other Current Liabilities €m 118,61 175,45 163,04 109,83 71,19 638,13 281,66 279,52 382,62 108,62 1690,55 30,24 0,00 20,32 6,51 0,30 57,37 2,49 5,74 27,61 0,00 Total Current Liabilities Long Term Liabilities: Total Liabilities Shareholders Equity Retained Earnings Total Shareholder's Equity Total Liabilities+S.holder's Equity 106,69 €m 1690,56 14,88 6,19 21,07 1,33 22,41 100,70 -29,91 70,79 93,20 $m 6,34 23,78 18,04 19,93 6,06 74,15 0,00 4,59 26,42 1,53 93,20 $m 120,96 101,75 222,70 295,30 518,01 1196,70 -24,15 1172,55 $m $m 1495,7 101,4 2243,7 999,9 566,1 5406,8 816,3 1517,9 4096,3 758,2 12595,5 $m 18,94 9,08 28,02 5,63 33,65 49,60 23,44 73,04 106,69 3433,1 1174,1 4607,2 3558,7 8165,9 200,8 4228,8 4429,6 12595,5 Table : Financial Analysis of BIOTECH Companies. COMPANY INCOME STATEMENT GENZYME Revenues in Million US $ 709,34 $m Revenues Cost of Sales Gross Profit Selling, Gen & Admin Expenses Research & Development Expenses Other Operating Expenses Total Operating Expenses Income from Operations Other Income Earnings before Int & Tax(EBIT) Interest Expense Earnings before Taxes ( EBT ) Income Tax Net Income Earnings Per Share ( EPS ) Depreciation EBITDA INNOGENETICS 709,34 259,66 449,67 215,20 119,01 24,33 358,54 91,13 33,90 125,03 22,59 102,44 39,87 62,57 1,48 58,87 183,90 33,28 €m 31,70 13,65 18,05 21,15 9,81 0,00 30,96 -12,91 1,58 -11,33 0,98 -12,31 0,03 -12,34 -0,51 3,79 -7,54 QIAGEN ELI LILLY 110,25 $m 9236,80 $m 110,25 32,77 77,48 49,97 12,84 0,00 62,81 14,67 4,04 18,71 1,17 17,54 5,11 12,43 0,73 5,70 24,41 9236,8 2015,1 7221,7 2658,3 1738,9 127,5 4524,7 2697,0 158,1 2855,1 188,5 2666,6 568,7 2097,9 1,91 490,40 3345,50 Table : Financial Analysis of BIOTECH Companies. COMPANY GENZYME INNOGENETICS QIAGEN ELI LILLY Current Ratio (Current Assets/Current Liabilities) Quick Ratio(Curn Assets-Invntory/Curn Liabilities) 2,87 2,37 2,72 2,41 2,65 1,93 1,17 0,96 Inventory Turnover Ratio(Cost of Sales/Inventory) Fixed Assets Turnover(Revenues / Net Fixed Assets) Total Assets Turnover(Revenues / Total Assets) Debt Ratio (Total Debt/Total Assets) 2,36 1,85 0,42 0,31 2,10 1,15 0,34 0,24 1,64 4,17 1,03 0,32 2,02 2,25 0,73 0,65 Profit Margin on Revenues (%) (Net Income) Profit Margin on Revenues (%) (EBIT) Return on Total Assets (Net Income/Total Assets) Return on Total Assets (EBIT/Total Assets) Return on Equity R&D Exp on Revenues 9% 18% 4% 7% 5% 17% -39% -36% -13% -12% -17% 31% 11% 17% 12% 18% 17% 12% 23% 31% 17% 23% 47% 19% EBITDA / Revenues R & D Expenses / EBITDA Interest / EBITDA Selling & Admn Expn / EBITDA 26% 65% 12% 117% -24% -130% -13% -280% 22% 53% 5% 205% 36% 52% 6% 79% 0,25 57,01% 213,77 83,90 0,02 5,95% 417,97 234,01 0,08 16,73% 152,72 59,72 0,80 43,58% 31,60 88,66 Debt / Equity Capital Financial Debt / Total Liabilities. Working Capital / Revenues(days) Accounts Receivables / Revenues (days) Table : Financial Analysis of BIOTECH Companies. COMPANY NOVARTIS NOVO NORDISK ROCHE SOLVAY SCHERING Head-Office Year of Incorporation. Financial Statement for the YEAR Products: Basel, Switzerland DENMARK Basel, Switzerland Belgium Germany 1998 1998 1998 Swiss Fr m €m DM m 275 0 1637 966 0 2878 704 323 3513 0 1953,27 0,00 2090,01 1161,28 0,00 5204,56 872,99 744,63 2114,21 0,00 1998 1998 Health Care, Enzyme business & Others Parent Company: BALANCE SHEET Assets: Cash & Cash Equivalents. Marketable Securities Accounts Receivables Inventories Other Current Assets Total Current Assets Long-term investments Intangible Assets Net Property, Plant & Equipment Other Assets Total Assets Liabilities & S.Equity: Accounts Payable Other Current Liabilities Total Current Liabilities Long Term Liabilities: Total Liabilities Shareholders Equity Retained Earnings Total Shareholder's Equity Total Liabilities+S.holder's Equity Swiss Fr m 6963 6373 5814 6695 3274 29119 6617 2655 11335 5609 55335 Swiss Fr m 7278 7235 14513 9645 24158 1564 29613 31177 55335 DKK m 799 1918 5705 4642 0 13064 210 237 13831 0 27342 DKK m 1984 5486 7470 1900 9370 3432 14540 17972 27342 16058 0 4535 5389 1945 27927 425 10757 12704 4066 55879 Swiss Fr m 2602 9046 11648 21416 33064 1309 21506 22815 55879 7418 €m 1664 1812 3476 649 4125 3293 0 3293 7418 8936,38 DM m 3793,76 0,00 3793,76 1117,25 4911,01 1122,31 2903,06 4025,37 8936,38 Table : Financial Analysis of BIOTECH Companies. COMPANY INCOME STATEMENT Revenues in Million US $ Revenues Cost of Sales Gross Profit Selling, Gen & Admin Expenses Research & Development Expenses Other Operating Expenses Total Operating Expenses Income from Operations Other Income Earnings before Int & Tax(EBIT) Interest Expense Earnings before Taxes ( EBT ) Income Tax Net Income Earnings Per Share ( EPS ) Depreciation EBITDA NOVARTIS 18501,29 Swiss Fr m 31702 10052 21650 10569 3725 0 14294 7356 614 7970 26 7944 1880 6064 89 1388 9358 NOVO NORDISK 2164,39 DKK m 17911 5856 12055 6589 3399 0 9988 2067 1861 3928 182 3746 1337 2409 1469,00 5397,00 ROCHE SOLVAY SCHERING 14392,74 Swiss Fr m 24662 7901 16761 7827 3408 1176 12411 4350 1083 5433 76 5357 965 7823,55 €m 7451 5392 2059 1102 292 69 1463 596 14 610 57 553 178 2950,39 DM m 6425,07 1564,88 4860,19 2773,83 1229,37 569,27 4572,47 287,72 540,82 828,54 8,00 820,54 342,15 4392 375 509 4,45 1425 6858 478,40 507 1117 435,05 1263,59 Table : Financial Analysis of BIOTECH Companies. COMPANY NOVARTIS NOVO NORDISK ROCHE SOLVAY SCHERING Current Ratio (Current Assets/Current Liabilities) Quick Ratio(Curn Assets-Invntory/Curn Liabilities) 2,01 1,55 1,75 1,13 2,40 1,93 0,83 0,55 1,37 1,07 Inventory Turnover Ratio(Cost of Sales/Inventory) Fixed Assets Turnover(Revenues / Net Fixed Assets) Total Assets Turnover(Revenues / Total Assets) Debt Ratio (Total Debt/Total Assets) 1,50 2,80 0,57 0,44 1,26 1,29 0,66 0,34 1,47 1,94 0,44 0,59 5,58 2,12 1,00 0,56 1,35 3,04 0,72 0,55 Profit Margin on Revenues (%) (Net Income) Profit Margin on Revenues (%) (EBIT) Return on Total Assets (Net Income/Total Assets) Return on Total Assets (EBIT/Total Assets) Return on Equity R&D Exp on Revenues 19% 25% 11% 14% 19% 12% 13% 22% 9% 14% 13% 19% 18% 22% 8% 10% 19% 14% 5% 8% 5% 8% 11% 4% 7% 12,90% 5% 9,27% 12% 19% EBITDA / Revenues R & D Expenses / EBITDA Interest / EBITDA Selling & Admn Expn / EBITDA 30% 40% 0,28% 113% 30% 63% 3% 122% 28% 50% 1,11% 114% 15% 26% 5% 99% 20% 97% 0,63% 220% Debt / Equity Capital Financial Debt / Total Liabilities. Working Capital / Revenues(days) Accounts Receivables / Revenues (days) 0,31 39,92% 168,17 66,94 0,11 20,28% 114,00 116,26 0,94 64,77% 240,93 67,12 0,20 15,73% -29,29 80,19 0,28 22,75% 80,15 118,73 ESSEC CE NTRE DE RECHERCHE LISTE DES DOCUMENTS DE RECHERCHE DU CENTRE DE RECHERCHE DE L’ESSEC (Pour se procurer ces documents, s’adresser au CENTRE DE RECHERCHE DE L’ESSEC) LISTE OF ESSEC RESEARCH CENTER WORKING PAPERS (Contact the ESSEC RESEARCH CENTER for information on how to obtain copies of these papers) [email protected] 1997 97001 BESANCENOT D., VRANCEANU Radu Reputation in a Model of Economy-wide Privatization. 97002 GURVIEZ P. The Trust Concept in the Brand-consumers Relationship. 97003 POTULNY S. L’utilitarisme cognitif de John Stuart Mill. 97004 LONGIN François From Value at Risk to Stress Testing: The Extreme Value Approach. 97005 BIBARD Laurent, PRORIOL G. Machiavel : entre pensée du pouvoir et philosophie de la modernité. 97006 LONGIN François Value at Risk: une nouvelle méthode fondée sur la théorie des valeurs extrêmes. 97007 CONTENSOU François, VRANCEANU Radu Effects of Working Time Constraints on Employment: A Two-sector Model. 97008 BESANCENOT D., VRANCEANU Radu Reputation in a Model of Exchange Rate Policy with Incomplete Information. 97009 AKOKA Jacky, BRIOLAT Dominique, WATTIAU Isabelle La reconfiguration des processus inter-organisationnels. 97010 NGUYEN. P Bank Regulation by Capital Adequacy and Cash Reserves Requirements. 97011 LONGIN François Beyond the VaR. 97012 LONGIN François Optimal Margin Level in Futures Markets: A Method Based on Extreme Price Movements. 97013 GROUT DE BEAUFORT Viviane Maastricth II ou la copie à réviser. 97014 ALBIGOT J.G., GROUT DE BEAUFORT V., BONFILLON P.O., RIEGER B . Perspectives communautaires et européennes sur la réduction du temps de travail. Page 1 97015 DEMEESTERE René, LORINO Philippe, MOTTIS Nicolas Business Process Management: Case Studies of Different Companies and Hypotheses for Further Research. 97016 PERETTI Jean-Marie, HOURQUET P.G., ALIS D. Hétérogénéité de la perception des déterminants de l’équité dans un contexte international. 97017 NYECK Simon, ROUX Elyette WWW as a Communication Tool for Luxury Brands: Compared Perceptions of Consumers and Managers. 97018 NAPPI-CHOULET Ingrid L’analyse économique du fonctionnement des marchés immobiliers. 97019 BESANCENOT D., ROCHETEAU G., VRANCEANU Radu Effects of Currency Unit Substitution in a Search Equilibrium Model. 97020 BOUCHIKHI Hamid Living with and Building on Complexity: A Constructivist Perspective on Organizations. 97021 GROUT DE BEAUFORT V., GRENOT S., TIXIER A . TSE K.L Essai sur le Parlement Européen. 97022 BOULIER J.F., DALAUD R., LONGIN François Application de la théorie des valeurs extrêmes aux marchés financiers. 97023 LORINO Philippe Théorie stratégique : des approches fondées sur les ressources aux approches fondées sur les processus. 97024 VRANCEANU Radu Investment through Retained Earnings and Employment in Transitional Economies. 97025 INGHAM M., XUEREB Jean-Marc The Evolution of Market Knowledge in New High Technology Firms: An Organizational Learning Perspective. 97026 KOENING Christian Les alliances inter-entreprises et la coopération émergente. 97027 LEMPEREUR Alain Retour sur la négociation de positions : pourquoi intégrer l’autre dans mon équation personnelle ? 97028 GATTO Riccardo Hypothesis Testing by Symbolic Computation. 97029 GATTO Riccardo , JAMMALAMADAKA S. Rao A conditional Saddlepoint Approximation for Testing Problems. 97030 ROSSI (de) F.X., GATTO Riccardo High-order Asymptotic Expansions for Robust Tests. 97031 LEMPEREUR Alain Negotiation and Mediation in France: The Challenge of Skill-based Learnings and Interdisciplinary Research in Legal Education. 97032 LEMPEREUR Alain Pédagogie de la négociation : allier théorie et pratique. 97033 WARIN T. Crédibilité des politiques monétaires en économie ouverte. 97034 FRANCOIS P. Bond Evaluation with Default Risk: A Review of the Continuous Time Approach. 97035 FOURCANS André, VRANCEANU Radu Fiscal Coordination in the EMU: A Theoretical and Policy Perspective. Page 2 97036 AKOKA Jacky, WATTIAU Isabelle MeRCI: An Expert System for Software Reverse Engineering. 97037 MNOOKIN R. (traduit par LEMPEREUR Alain) Surmonter les obstacles dans la résolution des conflits. 97038 LARDINOIT Thierry, DERBAIX D. An Experimental Study of the Effectiveness of Sport Sponsorship Stimuli. 97039 LONGIN François, SOLNIK B. Dependences Structure of International Equity Markets during Extremely Volatile Periods. 97040 LONGIN François Stress Testing : application de la théorie des valeurs extrêmes aux marchés des changes. 1998 98001 TISSOT (de) Olivier Quelques observations sur les problèmes juridiques posés par la rémunération des artistes interprètes. 98002 MOTTIS Nicolas, PONSSARD J.P. Incitations et création de valeur dans l’entreprise. Faut-il réinventer Taylor ? 98003 LIOUI A., PONCET Patrice Trading on Interest Rate Derivatives and the Costs of Marking-to-market. 98004 DEMEESTERE René La comptabilité de gestion : une modélisation de l’entreprise ? 98005 TISSOT (de) Olivier La mise en œuvre du droit à rémunération d’un comédien ayant « doublé » une œuvre audiovisuelle er (film cinématographique ou fiction télévisée ) avant le 1 janvier 1986. 98006 KUESTER Sabine, HOMBURG C., ROBERTSON T.S. Retaliatory Behavior to New Product Entry. 98007 MONTAGUTI E., KUESTER Sabine, ROBERTSON T.S. Déterminants of « Take-off » Time for Emerging Technologies: A Conceptual Model and Propositional Inventory. 98008 KUESTER Sabine, HOMBURG C . An Economic Model of Organizational Buying Behavior. 98009 BOURGUIGNON Annick Images of Performance: Accounting is not Enough. 98010 BESANCENOT D., VRANCEANU Radu A model of Manager Corruption in Developing Countries with Macroeconomic Implications. 98011 VRANCEANU Radu, WARIN T. Une étude théorique de la coordination budgétaire en union monétaire. 98012 BANDYOPADHYAU D. K. A Multiple Criteria Decision Making Approach for Information System Project Section. 98013 NGUYEN P., PORTAIT Roland Dynamic Mean-variance Efficiency and Strategic Asset Allocation with a Solvency Constraint. 98014 CONTENSOU François Heures supplémentaires et captation du surplus des travailleurs. 98015 GOMEZ M.L. De l’apprentissage organisationnel à la construction de connaissances organisationnelles. Page 3 98016 BOUYSSOU Denis Using DEA as a Tool for MCDM: some Remarks. 98017 INDJEHAGOPIAN Jean-Pierre, LANTZ F., SIMON V. Dynamique des prix sur le marché des fiouls domestiques en Europe. 98019 PELISSIER-TANON Arnaud La division du travail, une affaire de prudence. 98020 PELISSIER-TANON Arnaud Prudence et qualité totale. L’apport de la philosophie morale classique à l’étude du ressort psychologique par lequel les produits satisfont les besoins de leurs utilisateurs. 98021 BRIOLAT Dominique, AKOKA Jacky, WATTIAU Isabelle Le commerce électronique sur Internet. Mythe ou réalité ? 98022 DARMON René Equitable Pay for the Sales Force. 98023 CONTENSOU François, VRANCEANU Radu Working Time in a Model of Wage-hours Negociation. 98024 BIBARD Laurent La notion de démocratie. 98025 BIBARD Laurent Recherche et expertise. 98026 LEMPEREUR Alain Les étapes du processus de conciliation. 98027 INDJEHAGOPIAN Jean-Pierre, LANTZ F., SIMON V. Exchange Rate and Medium Distillates Distribution Margins. 98028 LEMPEREUR Alain Dialogue national pour l’Europe. Essai sur l’identité européenne des français. 98029 TIXIER Maud What are the Implications of Differing Perceptions in Western, Central and Eastern Europe for Emerging Management. 98030 TIXIER Maud Internal Communication and Structural Change. The Case of the European Public Service: Privatisation And Deregulation. 98031 NAPPI-CHOULET Ingrid La crise des bureaux : retournement de cycle ou bulle ? Une revue internationale des recherches. 98032 DEMEESTERE René La comptabilité de gestion dans le secteur public en France. 98033 LIOUI A., PONCET Patrice The Minimum Variance Hedge Ratio Revisited with Stochastic Interest Rates. 98034 LIOUI A., PONCET Patrice Is the Bernoulli Speculator always Myobic in a Complete Information Economy? 98035 LIOUI A., PONCET Patrice More on the Optimal Portfolio Choice under Stochastic Interest Rates. 98036 FAUCHER Hubert The Value of Dependency is Plant Breeding: A Game Theoretic Analysis. 98037 BOUCHIKHI Hamid, ROND (de) Mark., LEROUX V. Alliances as Social Facts: A Constructivist of Inter-Organizational Collaboration. 98038 BOUCHIKHI Hamid, KIMBERLY John R. Page 4 In Search of Substance: Content and Dynamics of Organizational Identity. 98039 BRIOLAT Dominique, AKOKA Jacky, COMYN-WATTIAU Isabelle Electronic Commerce on the Internet in France. An Explanatory Survey. 98040 CONTENSOU François, VRANCEANU Radu Réduction de la durée du travail et complémentarité des niveaux de qualification. 98041 TIXIER Daniel La globalisation de la relation Producteurs-Distributeurs. 98042 BOURGUIGNON Annick L’évaluation de la performance : un instrument de gestion éclaté. 98043 BOURGUIGNON Annick Benchmarking: from Intentions to Perceptions. 98044 BOURGUIGNON Annick Management Accounting and Value Creation: Value, Yes, but What Value? 98045 VRANCEANU Radu A Simple Matching Model of Unemployment and Working Time Determination with Policy Implications. 98046 PORTAIT Roland, BAJEUX-BESNAINOU Isabelle Pricing Contingent Claims in Incomplete Markets Using the Numeraire Portfolio. 98047 TAKAGI Junko Changes in Institutional Logics in the US. Health Care Sector: A Discourse Analysis. 98048 TAKAGI Junko Changing Policies and Professionals: A Symbolic Framework Approach to Organizational Effects on Physician Autonomy. 98049 LORINO Philippe L’apprentissage organisationnel bloquée (Groupe Bull 1986-1992) : du signe porteur d’apprentissage au Piège de l’habitude et de la représentation-miroir. 98050 TAKAGI Junko, ALLES G. Uncertainty, Symbolic Frameworks and Worker Discomfort with Change. 1999 99001 CHOFFRAY Jean-Marie Innovation et entreprenariat : De l’idée… au Spin-Off. 99002 TAKAGI Junko Physician Mobility and Attidudes across Organizational Work Settings between 1987 and 1991. 99003 GUYOT Marc, VRANCEANU Radu La réduction des budgets de la défense en Europe : économie budgétaire ou concurrence budgétaire ? 99004 CONTENSOU François, LEE Janghyuk Interactions on the Quality of Services in Franchise Chains: Externalities and Free-riding Incentives. 99005 LIOUI Abraham, PONCET Patrice International Bond Portfolio Diversification. 99006 GUIOTTO Paolo, RONCORONI Andrea Infinite Dimensional HJM Dynamics for the Term Structure of Interest Rates. 99007 GROUT de BEAUFORT Viviane, BERNET Anne-Cécile Les OPA en Allemagne. Page 5 99008 GROUT de BEAUFORT Viviane, GENEST Elodie Les OPA aux Pays-Bas. 99009 GROUT de BEAUFORT Viviane Les OPA en Italie. 99010 GROUT de BEAUFORT Viviane, LEVY M. Les OPA au Royaume-Uni. 99011 GROUT de BEAUFORT Viviane, GENEST Elodie Les OPA en Suède. 99012 BOUCHIKHI Hamid, KIMBERLY John R. st The Customized Workplace: A New Management Paradigm for the 21 Century. 99013 BOURGUIGNON Annick The Perception of Performance Evaluation Criteria (1): Perception Styles 99014 BOURGUIGNON Annick Performance et contrôle de gestion. 99015 BAJEUX-BESNAINOU Isabelle, JORDAN J., PORTAIT Roland Dynamic Asset Allocation for Stocks, Bonds and Cash over Long Horizons. 99016 BAJEUX-BESNAINOU Isabelle, JORDAN J., PORTAIT Roland On the Bonds-stock Asset Allocation Puzzle. 99017 TIXIER Daniel La logistique est-elle l’avenir du Marketing ? 99018 FOURCANS André, WARIN Thierry Euroland versus USA: A Theoretical Framework for Monetary Strategies. 99019 GATTO Riccardo, JAMMALAMADAKA S.R. Saddlepoint Approximations and Inference for Wrapped α-stable Circular Models. 99020 MOTTIS Nicolas, PONSSARD Jean-Pierre Création de valeur et politique de rémunération. Enjeux et pratiques. 99021 STOLOWY Nicole Les aspects contemporains du droit processuel : règles communes à toutes les juridictions et procédures devant le Tribunal de Grande Instance. 99022 STOLOWY Nicole Les juridictions civiles d’exception et l’étude des processus dans le droit judiciaire privé. 99023 GATTO Riccardo Multivariate Saddlepoint Test for Wrapped Normal Models. 99024 LORINO Philippe, PEYROLLE Jean-Claude Enquête sur le facteur X. L’autonomie de l’activité pour le management des ressources humaines et pour le contrôle de gestion. 99025 SALLEZ Alain Les critères de métropolisation et les éléments de comparaison entre Lyon et d’autres métropoles françaises. 99026 STOLOWY Nicole Réflexions sur l’actualité des procédures pénales et administratives. 99027 MOTTIS Nicolas, THEVENET Maurice Accréditation et Enseignement supérieur : certifier un service comme les autres… 99028 CERDIN Jean-Luc International Adjustment of French Expatriate Managers. Page 6 99029 BEAUFORT Viviane, CARREY Eric L’union européenne et la politique étrangère et de sécurité commune : la difficile voie de la construction d’une identité de défense européenne. 99030 STOLOWY Nicole How French Law Treats Fraudulent Bankruptcy. 99031 CHEVALIER Anne, LONGIN François Coût d’investissement à la bourse de Paris. 99032 LORINO Philippe Les indicateurs de performance dans le pilotage organisationnel. 99033 LARDINOIT Thierry, QUESTER Pascale Prominent vs Non Prominent Bands: Their Respective Effect on Sponsorship Effectiveness. 99034 CONTENSOU François, VRANCEANU Radu Working Time and Unemployment in an Efficiency Wage Model. 99035 EL OUARDIGHI Fouad La théorie statistique de la décision (I). 2000 00001 CHAU Minh, LIM Terence The Dynamic Response of Stock Prices Under Asymetric Information and Inventory Costs: Theory and Evidence 00002 BIBARD Laurent Matérialisme et spiritualité 00003 BIBARD Laurent La crise du monde moderne ou le divorce de l’occident. 00004 MATHE Hervé Exploring the Role of Space and Architecture in Business Education. 00005 MATHE Hervé Customer Service: Building Highly Innovative Organizations that Deliver Value. 00006 BEAUFORT (de) Viviane L’Union Européenne et la question autrichienne, ses conséquences éventuelles sur le champ de révision de la CIG. 00007 MOTTIS Nicolas, PONSSARD Jean-Pierre Value Creation and Compensation Policy Implications and Practices. 00009 BOURGUIGNON Annick The Perception of Performance Evaluation Criteria (2): Determinants of Perception Styles. 00010 EL OUARDIGHI Fouad The Dynamics of Cooperation. 00011 CHOFFRAY Jean-Marie Innovation et entrepreneuriat : De l’Idée…au Spin-Off. (Version révisée du DR 99001). 00012 LE BON Joël De l’intelligence économique à la veille marketing et commerciale : vers une nécessaire mise au point conceptuelle et théorique. 00013 ROND (de) Mark Reviewer 198 and Next Generation Theories in Strategy. 00014 BIBARD Laurent Amérique latine : identité, culture et management. Page 7 00016 BIBARD Laurent Les sciences de gestion et l’action. 00017 BEAUFORT (de) V. Les OPA au Danemark. 00018 BEAUFORT (de) V. Les OPA en Belgique. 00019 BEAUFORT (de) V. Les OPA en Finlande. 00020 BEAUFORT (de) V. Les OPA en Irlande. 00021 BEAUFORT (de) V. Les OPA au Luxembourg. 00022 BEAUFORT (de) V. Les OPA au Portugal. 00023 BEAUFORT (de) V. Les OPA en Autriche. 00024 KORCHIA Mickael Brand Image and Brand Associations. 00025 MOTTIS Nicolas, PONSSARD Jean-Pierre L’impact des FIE sur les firmes françaises et allemandes : épiphénomène ou influence réelle ? 00026 BIBARD Laurent Penser la paix entre hommes et femmes. 00027 BIBARD Laurent Sciences et éthique (Notule pour une conférence). 00028 MARTEL Jocelyn, C.G. FISHER Timothy Empirical Estimates of Filtering Failure in Court-supervised Reorganization. 00029 MARTEL Jocelyn Faillite et réorganisation financière : comparaison internationale et évidence empirique. 00030 MARTEL Jocelyn, C.G. FISHER Timothy The Effect of Bankruptcy Reform on the Number of Reorganization Proposals. 00031 MARTEL Jocelyn, C.G. FISHER Timothy The Bankruptcy Decision: Empirical Evidence from Canada. 00032 CONTENSOU François Profit-sharing Constraints, Efforts Output and Welfare. 00033 CHARLETY-LEPERS Patricia, SOUAM Saïd Analyse économique des fusions horizontales. 00034 BOUYSSOU Denis, PIRLOT Marc A Characterization of Asymmetric Concordance Relations. 00035 BOUYSSOU Denis, PIRLOT Marc Nontransitive Decomposable Conjoint Measurement. 00036 MARTEL Jocelyn, C.G. FISHER Timothy A Comparison of Business Bankruptcies across Industries in Canada, 1981-2000. Page 8 2001 01001 DEMEESTERE René Pour une vue pragmatique de la comptabilité. 01003 EL OUARDIGHI Fouad, GANNON Frédéric The Dynamics of Optimal Cooperation. 01004 DARMON René Optimal Salesforce Quota Plans Under Salesperson Job Equity Constraints. 01005 BOURGUIGNON Annick, MALLERET Véronique, NORREKLIT Hanne Balanced Scorecard versus French tableau de bord : Beyond Dispute, a Cultural and Ideological Perspective. 01006 CERDIN Jean-Luc Vers la collecte de données via Internet : Cas d’une recherche sur l’expatriation. 01007 LADHARI Riahd, MORALES Miguel, NYECK Simon, Pons Franck Profils d’attitudes par rapport aux loisirs culturels : L’exemple des spectacles cinématographiques. 01008 NYECK Simon, PARADIS Sylvie, de COSTER Louis, BOURDEAU Laurent Profils de satisfaction des consommateurs par rapport aux événements culturels : L’exemple du festival de jazz. 01009 NYECK Simon, Pons Franck Orientation des consommateurs par rapport aux événements sportifs (oes) : Proposition et validation d’un outil de mesure . 01010 NYECK Simon Représentations masculines des produits cosmétiques : Etude exploratoire auprès de la population "gay". 01011 LADHARI Riahd, MORALES Miguel, NYECK Simon Assessment of SERVQUAL Validity : An Evaluation of 10 Years of Use of the Measurement of the Quality. 01012 VRANCEANU Radu, CERNAT Lucian Globalisation and Growth: New Evidence from Central and Eastern Europe. 01013 BIBARD Laurent De quoi s’occupe la sociologie ? 01014 BIBARD Laurent Introduction aux questions que posent les rapports entre éthique et entreprise. 01015 BIBARD Laurent Quel XXIème siècle pour l’humanité ? 01016 MOTTIS Nicolas, PONSSARD Jean-Pierre Value-based Management at the Profit Center Level. 01017 BESANCENOT Damien, HUYNH Kim, VRANCEANU Radu Public Debt : From Insolvency to Illiquidity Default. 01018 BIBARD Laurent Ethique de la vie bonne et théorie du sujet : nature et liberté, ou la question du corps. 01019 INDJEHAGOPIAN Jean-Pierre, JUAN S . LANTZ F., PHILIPPE F. La pénétration du Diesel en France : tendances et ruptures. 01020 BARONI Michel, BARTHELEMY Fabrice, MOKRANE Mahdi Physical Real Estates: Risk Factors and Investor Behaviour. 01022 BESANCENOT Damien, VRANCEANU Radu Quality Leaps and Price Distribution in an Equilibrium Search model Page 9 01023 BIBARD Laurent Gestion et Politique 01024 BESANCENOT Damien, VRANCEANU Radu Technological Change, Acquisition of Skills and Wages in a search Economy 01025 BESANCENOT Damien, VRANCEANU Radu Quality Uncertainty and Welfare in a search Economy 01026 MOTTIS N. , PONSARD J.P., L’impact des FIE sur le pilotage de l’entreprise 01027 TAPIERO Charles, VALOIS Pierre The inverse Range Process in a Random Volatibility Random Walk 01028 ZARLOWSKI Ph., MOTTIS N. Making Managers into Owners An Experimental Research on the impact of Incentive Schemes on Shareolder Value Creation 01029 BESANCENOT Damien, VRANCEANU Radu Incertitude, bien-être et distribution des salaires dans un modèle de recherche d’emploi 01030 BOUCHIKHI H. De l’entrepreneur au gestionnaire et du gestionnaire à l’entrepreneur 01031 TAPIERO A., SULEM A. Inventory Control wth Supply Delays, On Going Order and Emergency Supplies 01032 ROND (DE) M., MILLER A.N. The playground of Academe : The Rhetoric and Reality of Tenure and Terror 01033 BIBARD L. Décision et écoute 01034 GEHRKE I., HORVATH P. Implementation of Performance Measurement. A comparative Study of French and German Organizations 01035 NAPPI-CHOULET I. The Recent Emergence Of Real Estate Education in French Business Schools : The Paradox of the French Experience Page 10 2002 Page 11