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2015 | nr 412 Zarządzanie finansami firm - teoria i praktyka | 185--203
Tytuł artykułu

Risk of Public Family Firms

Autorzy
Treść / Zawartość
Warianty tytułu
Ryzyko giełdowych firm rodzinnych
Języki publikacji
EN
Abstrakty
EN
This article tests the Value at Risk (VaR) model and its improvements to measure the risk approach of family firms and their nonfamily peers at the Warsaw Stock Exchange. The paper analyses the construction portfolio of firms listed at the Warsaw Stock Exchange between 2006 and 2012. This time period was used to compare the performance of these two portfolios in three sub-periods: during the crisis times as well as before and after the crisis. This article is based on historical and parametric Value of Risk to compare the performance of these two portfolios. In addition, it uses the Conditional Value at Risk to exhibit what happens beyond Value at Risk. This article finds that by using historical Value at Risk, family firms were on average less risky than their nonfamily peers before the latest crisis of 2008-2009. In the crisis, family firms bore more risk whereas after the crisis they were almost equally risky as nonfamily firms(original abstract)
Niniejszy artykuł omawia model Value at Risk (VaR) oraz jego odmiany umożliwiające zbadanie nastawienia do ryzyka grupy firm rodzinnych oraz nierodzinnych notowanych na Giełdzie Papierów Wartościowych w Warszawie. W niniejszym artykule poddano analizie portfel firm budowlanych notowanych na giełdzie w latach 2006-2012. Okres ten podzielono na trzy podokresy w celu zbadania efektywności firm w czasach: przedkryzysowych, kryzysowych oraz pokryzysowych. Ryzyko obu grup firm zmierzono, wykorzystując historyczne oraz parametryczne metody VaR. W analizie dodatkowo wykorzystano warunkowy Var (CVaR). Z artykułu wynika, że firmy rodzinne wykazały średnio mniejsze ryzyko niż firmy nierodzinne w okresie przedkryzysowym. W czasie kryzysu firmy rodzinne obciążone były większym ryzykiem, natomiast w okresie pokryzysowym wykazały podobny stopień ryzyka jak ich nierodzinne odpowiedniki(abstrakt oryginalny)
Twórcy
autor
  • Warsaw School of Economics, Poland
Bibliografia
  • Acerbi C., Tache D., 2001, Expected Shortfall: a natural coherent alternative to Value at Risk, Working paper, Abaxbank.
  • Alexander C., 2008, Market risk analysis, Value at Risk models, John Wiley \& Sons Ltd., West Sussex.
  • Alexander C., Baptista A., 2004, Comparison of VaR and CVaR constraints on portfolio selection with the Mean-Variance model, Management Science, no. 50, pp. 1261-1273.
  • Alexander C., Leigh C.T., 1997, On the covariance matrices used in Value at Risk models, Journal of Derivatives, no. 4, pp. 50-62.
  • Angelidis T., Benos A., Degiannakis S., 2004, The use of GARCH models in VaR estimation, Statistical Methodology, no. 1, pp. 105-128.
  • Andersen J.V., Sornette D., 1999, Have your cake and eat it, too: Increasing returns while lowering large risks!, The Journal of Risk Finance, no. 2, pp. 70-82.
  • Artzner P., Delbaen F., Eber J.M., Heath D., 1997, Thinking coherent, Risk, no. 11, pp. 68-72.
  • Artzner P., Delbaen F., Eber J., Heath D., 1999, Coherent measures of risk, Mathematical Finance, no. 9, pp. 203-228.
  • Barone-Adesi G., Bourgoin F., Giannopoulos K., 1998, Don\'t look back, Risk, no. 11, pp. 100-103.
  • Barone-Adesi G., Giannopoulos K., Vosper L., 1999, VaR without correlations for nonlinear portfolios, Journal of Futures Markets, no. 19, pp. 583-602.
  • Basak S., Shapiro A., 2001, Value-at-Risk based risk management: optimal policies, asset prices, Review of Financial Studies, no. 14, pp. 371-405.
  • Basel Committee on Banking Supervision, 1995, An internal model-based approach to market risk capital requirements, Basel.
  • Basel Committee on Banking Supervision, 1996, Basel Accord, Basel.
  • Baumol W.J., 1963, An expected gain-confidence limit criterion for portfolio selection, Management Science, no. 10, pp. 174-182.
  • Beder T., 1995, VaR: Seductive but dangerous, Financial Analysts Journal, no. 51, pp. 12-24.
  • Beneda N., 2004, Managing an asset management firm\'s risk portfolio, Journal of Asset Management, no. 5, pp. 327-337.
  • Berkowitz J., O\'Brien J., 2002, How accurate are the Value-at-Risk models at commercial banks?, Journal of Finance, no. 57, pp. 1093-1111.
  • Blanco C., Blomstrom S., 1999, VaR applications: Setting VaR-based limits, Working Paper, Financial Engineering Associates, Inc.
  • Bodnar G.M., Hayt G.S., Marston R.C., 1998, Wharton survey of financial risk management by US non-financial firms, Financial Management, no. 27.
  • Boudoukh J., Richardson, M., Whitelaw R., 1997, Investigation of a class of volatility estimates, Journal of Derivatives, no. 4, pp. 63-71.
  • Boudoukh J., Richardson M., Whitelaw R., 1998, The Best of Both Worlds, Risk, no. 5, pp. 64-67.
  • Boudoukh J., Richardson M., Stanton R., Whitelaw R.F., 2004, MaxVaR: Long Horizon Value at Risk in a Mark-to-Market Environment, Journal of Investment Management, no. 2, pp. 14-19.
  • Britten-Jones M., Schaefer S.M., 1999, Non-linear value-at-risk, European Finance Review, no. 2, pp. 161-187.
  • Brummelhuis R., Kaufmann R., 2007, Time-scaling of value-at-risk in GARCH(1,1) and AR(1) -GARCH(1,1) processes, The Journal of Risk, no. 9, pp. 39-94.
  • Chen S., Tang C., 2005, Nonparametric inference of value-at-risk for dependent financial returns, Journal of Financial Econometrics, no. 3, pp. 227-255.
  • Christoffersen P., Hahn J., Inoue A., 2001, Testing, comparing Value-at-Risk measures, Journal of Empirical Finance, no. 8, pp. 325-342.
  • Cuoco D.H., He H., Isaenko S., 2008, Optimal dynamic trading strategies with risk limits, Operations Research, no. 56, pp. 358-368.
  • Cvitanić J., Karatzas I., 1999, On dynamic measures of risk, Finance \& Stochastics, no. 3, pp. 451-482.
  • Danielson J., de Vries C.G., 1997, Extreme returns, tail estimation, and value-at-risk, Working Paper, University of Iceland, http://www.hag.hi.is/~jond/research.
  • Domar E., Musgrave R. A., 1944, Proportional income taxation and risk taking, Quarterly Journal of Economics, no. 57, pp. 388-422.
  • Duffie D., Pan J., 1997, An overview of value at risk, Journal of Derivatives, no. 4, pp. 7-49.
  • Duffie D., Pan J., 2001, Analytical Value-at-Risk with jumps and credit risk, Finance and Stochastics, no. 2, pp. 155-180.
  • Dufour J.M., 2006, Monte Carlo tests with nuisance parameters: a general approach to finite-sample inference, nonstandard asymptotics in econometrics, Journal of Econometrics, no. 133, pp. 443-477.
  • Embrechts P., Klueppelberg C., Mikosch T., 1997, External events in finance, insurance, Springer, Berlin.
  • Engle R.F., 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, no. 50, pp. 987-1008.
  • Engle R., Manganelli S., 2004, CAViaR: conditional autoregressive Value at Risk by regression quantiles, Journal of Business \& Economic Statistics, no. 22, pp. 367-381.
  • Evans J.R., Olson D.L., 1998, Introduction to Simulation and Risk Analysis, Prentice Hall, Upper Saddle River.
  • Fallon W., 1996, Calculating Value-At-Risk, Working Paper, Columbia University, New York.
  • Glasserman P., Heidelberger P., Shahabuddin P., 2000, Portfolio Value-at-Risk with heavy-tailed risk factors, Mathematical Finance, no. 12, pp. 239-269.
  • Finansinspektionens författningssamling, 2004, Finansinspektionens allmänna råd om kreditriskhanteringi kreditinstitut och värdepappersinstitut, FFFS 2004:6.
  • Fishburn P.C., 1977, Mean-risk analysis with risk associated with below-target returns, American Economic Review, no. 67, pp. 116-26.
  • Hallerbach W.G., Menkveld A.J., 2004, Analyzing perceived downside risk: the component Value-at-Risk framework, European Financial Management, no. 4, pp. 567-591.
  • Hardy C.O., 1923, Risk and Risk-Bearing, University of Chicago Press, Chicago.
  • Hartz C., Mittnik S., Paolella M., 2006, Accurate Value-at-Risk forecasting based on the normal-GARCH model, Computational Statistics and Data Analysis, no. 51, pp. 2295-2312.
  • Hendricks D., 1996, Evaluation of Value-at-Risk models using historical data, Economic Policy Review, no. 2, pp. 39-69.
  • Hicks J.R., 1935, A suggestion for simplifying the theory of money, Economica, no. 11, pp. 1-19.
  • Ho T.S.Y., Chen M.Z.H., Eng H.T.F., 1996, VaR analytics: portfolio structure, key rate convexities, and VaR betas, Journal of Portfolio Management, no. 23, pp. 89-98.
  • Hull J., White A., 1998, Incorporating volatility updating into the historical simulation method for value-at-risk, Journal of Risk, no. 1, pp. 5-19.
  • Jamshidian F., Zhu Y., 1997, Scenario simulation model: theory and methodology, Finance and Stochastics, no. 1, pp. 43-67.
  • Johansson F., Seiler M.J., Tjarnberg M., 1999, Measuring downside portfolio risk, Journal of Portfolio Management, no. 26, pp. 96-107.
  • Jorion P., 1997a, Value at risk: The New Benchmark for Controlling Market Risk, McGraw-Hill, New York.
  • Jorion P., 1997b, In defense of VaR, Derivatives Strategy, no. 2, pp. 20-22.
  • Jorion P., 2007, Value-at-Risk, McGraw-Hill, New York.
  • J.P. Morgan/Reuters, 1996, RiskMetrics, technical document, Morgan Guaranty Trust Company of New York, New York.
  • Kaplanski G., Kroll Y., 2002, VaR risk measures vs traditional measures: an analysis and survey, Journal of Risk, no. 4, pp. 1-27.
  • Kuan C.M., Yeh J.H., Hsu Y.C., 2009, Assessing Value-at-Risk with CARE: the conditional autoregressive expectile models, Journal of Econometrics. no. 150, pp. 261-270.
  • Kupiec P., 1995, Techniques for verifying the accuracy of risk measurement models, Journal of Derivatives, no. 2, pp. 173-184.
  • Longin M.F., 2001, Beyond the VaR, Journal of Derivatives, no. 8, pp. 36-48.
  • Leavens D.H., 1945, Diversification of investments, Trusts and Estates, no. 80, pp. 469-473.
  • Lipiec J., 2014, Capital asset pricing model testing at Warsaw Stock Exchange: are family businesses the remedy for economic recessions? International Journal of Financial Studies, no. 2, pp. 266-279.
  • Lopez J.A., 1998, Methods for evaluating Value-at-Risk estimates, Economic Policy Review, no. 4, pp. 119-124.
  • Linsmeier T.J., Pearson N.D., 1996, Risk measurement: an introduction to Value at Risk, Working Paper 96-04, University of Illinois, Urbana-Champaign.
  • Mao J.C., 1970, Survey of capital budgeting: theory, practice, Journal of Finance, no. 25, pp. 349-360.
  • Markovitz H., 1952, Portfolio selection, Journal of Finance, no. 7, pp. 77-91.
  • Markovitz H., 1959, Portfolio Selection, John Wiley \& Sons, Inc., New York.
  • McNeil A., Frey R., Embrechts P., 2005, Quantitative Risk Management, Princeton University Press, Princeton.
  • Perignon C., Deng Z.Y., Wang Z.J., 2008, Do banks overstate their Value-At-Risk?, Journal of Banking and Finance, no. 32, pp. 783-794.
  • Perignon C., Smith D., 2006, The Level, Quality Of Value-At-Risk Disclosure by Commercial Banks, Working paper, Simon Fraser University, Vancouver.
  • Perignon C., Smith D., 2010, The level, quality of Value-at-Risk disclosure by commercial banks, Journal of Banking, Finance, no. 34, pp. 362-377.
  • Picoult E., 1999, Calculating Value-at-Risk with Monte Carlo simulation, [in:] Monte Carlo: Methodologies and Applications for Pricing and Risk Management, ed. B. Dupire, Risk Publications, London, pp. 209-229.
  • Pritsker M., 1997, Evaluating value at risk methodologies, Journal of Financial Services Research, no. 12, pp. 201-242.
  • Pritsker M., 2006, The hidden dangers of historical simulation, Journal of Banking, Finance, no. 30, pp. 561-582.
  • Rockafeller R.T., Uryasev S., 2000, Optimization of conditional value-at-risk, Journal of Risk, no. 2, pp. 21-42.
  • Rockafellar R.T., Uryassev S., 2002, Conditional value-at-risk for general loss distributions, Journal of Banking \& Finance, no. 26, pp. 1443-1471.
  • Roy A.D., 1952, Safety first and the holding of assets, Econometrica, no. 20, pp. 431-449.
  • Securities and Exchange Commission, SEC, 1997, Disclosure of Accounting Policies for Derivative Financial Instruments and Derivative Commodity Instruments, Disclosure of Quantitative and Qualitative Information about Market Risk Inherent in Derivative Financial Instruments, Other Financial Instruments, and Derivative Commodity Instruments, Release nos. 33-7386; 34-38223; IC-22487; FR-48; International Series no. 1047; File no. S7-35-95, January 31, 1997, Washington, D.C.
  • Shaw J., 1999, Beyond VAR and stress testing, [in:] Monte Carlo: Methodologies and applications for pricing and risk management, ed. B. Dupire, Risk Publications, London, pp. 231-244.
  • Stambaugh F., 1996, Risk and Value-at-Risk, European Management Journal, no. 14, pp. 612-621.
  • Taylor J.W., 2005, Generating volatility forecasts from Value at Risk estimates, Management Science, no. 51, pp. 712-725.
  • Uryasev S., 2000, Conditional value-at-risk: optimization algorithms and applications, Financial Engineering News, no. 2, pp. 1-5.
  • Venter J., de Jongh P., 2002, Risk estimation using the normal inverse Gaussian distribution, Journal of Risk, no. 4, pp. 1-23.
  • Villalonga B., Amit R., 2006, How do family ownership, control and management affect firm value?, Journal of Financial Economics, no. 80, pp. 385-417.
  • Wang T., 1996, A class of dynamic risk measures, Working paper, University of British Columbia, Vancouver.
  • Wilson T., 1999, Value at Risk, [in:] Risk Management and Analysis, ed. C. Alexander, Wiley, Vol. 1, Chichester, pp. 61-124.
  • Wong M.C.S., Wai Y.C., Wong C.Y.P., 2003, Market risk management of banks: implications from the accuracy of Value-at-Risk forecasts, Journal of Forecasting, no. 22, pp. 23-33.
  • Wu G., Xiao Z., 2002, An analysis of risk measures, Journal of Risk, no. 4, pp. 53-75.
  • Yamai Y., Yoshiba T., 2002, Comparative analyses of expected shortfall, value-at-risk under market stress, Working paper, Institute of Monetary, Economic Studies, Bank of Japan, Tokyo.
Typ dokumentu
Bibliografia
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