Témata prací (Výběr práce)Témata prací (Výběr práce)(verze: 368)
Detail práce
   Přihlásit přes CAS
Corporate venture investors portfolio forming: what criteria is used and how the portfolio affects corporations’ performance?
Název práce v češtině: Formování portfolia firemních investorů: jaká kritéria se používají a jak portfolio ovlivňuje výkonnost korporací?
Název v anglickém jazyce: Corporate venture investors portfolio forming: what criteria is used and how the portfolio affects corporations’ performance?
Klíčová slova: Model stanovení cen kapitálu; teorie portfolia; Fama-francouzský třífaktorový model; Průřezový přístup Fama-MacBeth; GARCH model; supADF; přílišná volatilita
Klíčová slova anglicky: Capital Asset Pricing Model; portfolio theory; Fama-French Three-factor model; Fama-MacBeth cross-sectional approach; GARCH model; supADF; overvolatility
Akademický rok vypsání: 2018/2019
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Katedra ruských a východoevropských studií (23-KRVS)
Vedoucí / školitel: doc. Bc. Jiří Novák, M.Sc., Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 24.11.2019
Datum zadání: 24.11.2019
Datum a čas obhajoby: 08.09.2020 10:00
Místo konání obhajoby: Pekařská 16, JPEK107, 107, Malá učebna, 1.patro
Datum odevzdání elektronické podoby:31.07.2020
Datum proběhlé obhajoby: 08.09.2020
Oponenti: Ing. Vilém Semerák, M.A., Ph.D.
  Eugene Nivorozhkin, PhD.
 
 
Kontrola URKUND:
Seznam odborné literatury
Amihud, Y., & Mendelson, H. (1986). Liquidity and stock returns. Financial Analysts Journal , 42 (3), 43-48.
Anderson, E. and Gatignon, H., 1986. Modes of foreign entry: A transaction cost analysis and propositions. Journal of international business studies, 17(3), pp.1-26.
Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. The Journal of Finance , 68 (3), 929-985.
Avramov, D., & Chordia, T. (2006). Asset pricing models and financial market anomalies. The Review of Financial Studies , 19 (3), 1001-1040.
Bansal R., A. Yaron, 2004. Risks for the Long-run: A potential Recolution of Asset Pricing Puzzles, Journal of Finance, 2004, 59(4), pp.1481-1509.
Barberis N., A.Shelfifer, R. Vishny, 1998. A Model of Investor Sentiment, Journal of Financial Economics, 43(3), pp.341-372.
Bartholdy, J. and Peare, P., 2005. Estimation of expected return: CAPM vs. Fama and French. International Review of Financial Analysis, 14(4), pp.407-427.
Blair, B. J., Poon, S. H., & Taylor, S. J. (2001). Modelling S&P 100 volatility: The information content of stock returns. Journal of banking & finance , 25 (9), 1665-1679.
Bollerslev, T., 1986. Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), pp.307-327.
Bollerslev T., R.F. Engle, J.M. Woldridge, 1988. A Capital Asset Pricing Model with Time Varying Covariance, Journal of Political Economy, 96(1), pp.116-131.
Cai, Z., Ren, Y. and Yang, B., 2015. A semiparametric conditional capital asset pricing model. Journal of Banking & Finance, 61, pp.117-126.
Cakici, N., Fabozzi, F. J., & Tan, S. (2013). Size, value, and momentum in emerging market stock returns. Emerging Markets Review , 16 , 46-65.
Campbell, J.Y. and Shiller, R.J., 1987. Cointegration and tests of present value models. Journal of Political Economy, 95(5), pp.1062-1088.
Cheng, P.L. and Grauer, R.R., 1980. An alternative test of the capital asset pricing model. The American Economic Review, 70(4), pp.660-671.
Chiadmi, M. S., & Ghaiti, F. (2014). Modeling Volatility of Islamic Stock Indexes: Empirical Evidence and Comparative Analysis. DLSU Business & Economics Review , 24 (1).
Czapiewski, L. (2013). Company size, book-to-market and momentum effects, and other deviations from the CAPM - evidence from the Warsaw stock exchange. Business and Economic Horizons, 9(3), 79-86.
Daal E., A. Naka, J.S. Yu, 2007. Volatility Clustering, Leverage Effects, and Jump Dynamics in the US and Emerging Asian Equity Markets, Journal of Banking and Finance, 31(9), pp.2751-2769.
Datar, V. T., Naik, N. Y., & Radcliffe, R. (1998). Liquidity and stock returns: An alternative test. Journal of Financial Markets , 1 (2), 203-219.
Davis, J.L., Fama, E.F. and French, K.R., 2000. Characteristics, covariances, and average returns: 1929 to 1997. The Journal of Finance, 55(1), pp.389-406.
Deng W., Tang Q. M., 2013. Supremum KSS test in bubble of stock market. Journal of Quantitative Economics, 4, pp.124-137.
Diba B.T., H.I. Grossman, 1988. Explosive Rational Bubbles in Stock Prices, The American Economic Review, 78, pp.520-530.
Drew, M.E. and Veeraraghavan, M., 2002. A closer look at the size and value premium in emerging markets: Evidence from the Kuala Lumpur Stock Exchange. Asian Economic Journal, 16(4), pp.337-351.
Drew, M., 2003. Beta, firm size, book-to-market equity and stock returns. Journal of the Asia Pacific Economy, 8(3), pp.354-379.
Dzaja, J., & Aljinovic, Z. (2013). TESTING CAPM MODEL ON THE EMERGING MARKETS OF THE CENTRAL AND SOUTHEASTERN EUROPE. Croatian Operational Research Review, 4, 164-175.
Eiling E., 2013. Industry-specific Human Capital, Idiosyncratic Risk and the Cross-section of Expected Stock Returns, Journal of Finance, 68(1), pp.43-84.
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica: Journal of the Econometric Society, 987-1007.
Evans G.W., 1991. Pifalls in Testing for Explosive Bubbles in Asset Prices, The American Economic Review. 81, pp.922-930.
Fama E.F., J.D. MacBeth, 1973. MacBeth, Risk, Return and Equilibrium: Empirical Tests, Journal of Political Economy, 81, pp.607-636.
Fama E.F., K.R. French, 2015. A Five-factor Asset Pricing Model, Journal of Financial Economics, 116(1), pp.1-22.
Fama E.F., K.R. French, 2012. Size, Value, Momentum in International Stock Returns, Journal of Financial Economics, 105, pp.457-472.
Fama E.F., K.R. French, 1992. The Cross Section of Expected Stock Returns, Journal of Financial Economics, 31(1), pp.3-56.
Fama, E.F. and French, K.R., 2004. The capital asset pricing model: Theory and evidence. Journal of Economic Perspectives, 18(3), pp.25-46.
Fama, E.F. and French, K.R., 1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), pp.3-56.
Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of financial economics , 116 (1), 1-22.
Foye J., D. Mramor, M. Pahor, 2013. A Prespecified Fama French Three-Factor Model of the New European Union Member States, Journal of International Financial Management and Accounting, 24(1), pp.3-25.
Fruk, M., & Huljak, I. (2004). Testiranje Sharpe-Lintnerova modela na Zagrebačkoj burzi. Financijska teorija i praksa , 28 (1), 77-91.
Gaunt C., 2004. Size and Book to Market Effects and the Fama French Three Factor Asset Pricing Model: Evidence from the Australian Stock Market, Journal of Accounting and Finance, 44(1), pp.27-44.
Gervais S., R. Kaniel, D.H. Mingelgrin, 2001. The High-Volume Return Premium, Journal of Finance, 56(3), pp.877-919.
Gharghori, P., Chan, H., & Faff, R. (2007). Are the Fama-French factors proxying default risk?. Australian Journal of Management , 32 (2), 223-249.
Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. The journal of finance , 48 (5), 1779-1801.
Grauer, R.R. and Janmaat, J.A., 2010. Cross-sectional tests of the CAPM and Fama–French three-factor model. Journal of banking & Finance, 34(2), pp.457-470.
Jorion, P., 1988. On jump processes in the foreign exchange and stock markets. The Review of Financial Studies, 1(4), pp.427-445.
Joshi, M., & Stacey, A. (2008). New and robust drift approximations for the LIBOR market model. Quantitative Finance , 8 (4), 427-434.
Kahn, R.N. and Lemmon, M., 2016. The asset manager’s dilemma: How smart beta is disrupting the investment management industry. Financial Analysts Journal, 72(1), pp.15-20.
Kan R., C. Robotti, J. Shanken, 2013. Pricing Model Performance and the Two-Pass Cross-sectional Regression Methodology, Journal of Finance, 68(6), pp.2617-2649.
Lakonishok, J., Shleifer, A. and Vishny, R.W., 1994. Contrarian investment, extrapolation, and risk. The journal of finance, 49(5), pp.1541-1578.
Lardy, Nicholas R., and Arvind Subramanian. Sustaining China's economic growth after the global financial crisis. Peterson Institute, 2011.
Lee, C. M., & Swaminathan, B. (2000). Price momentum and trading volume. The Journal of Finance , 55 (5), 2017-2069.
Lin, J. G., Huang, C., Zhuang, Q. Y., & Zhu, L. P. (2010). Estimating generalized state density of near-extreme events and its applications in analyzing stock data. Insurance: Mathematics and Economics , 47 (1), 13-20.
Lintner, J., 1965. Security prices, risk, and maximal gains from diversification. The journal of finance, 20(4), pp.587-615.
Lischewski, J., & Voronkova, S. (2012). Size, value and liquidity. Do they really matter on an emerging stock market?. Emerging Markets Review , 13 (1), 8-25.
Maheu J.M., Th.H. Mccurdy, 2004. News Arrivals, Jump Dynamics and Volatility Components for Individual Stock Returns, The Journal of Finance, 59(2), pp.755-793.
Mala, R., & Reddy, M. (2007). Measuring stock market volatility in an emerging economy. International Research Journal of Finance and Economics , 8 (5), 53-71.
Mankiw, N. G., Romer, D., & Shapiro, M. D. (1985). An unbiased reexamination of stock market volatility. The Journal of Finance , 40 (3), 677-687.
Neslihanoglu, S., Sogiakas, V., McColl, J., & Lee, D. (2017). Nonlinearities in the CAPM: Evidence from Developed and Emerging Markets. Journal of Forecasting, 36(8), 867-897.
Olson, W.S., Kummerow, C.D., Hong, Y. and Tao, W.K., 1999. Atmospheric latent heating distributions in the tropics derived from satellite passive microwave radiometer measurements. Journal of Applied Meteorology, 38(6), pp.633-664.
Patel, S.A. and Sarkar, A., 1998. Crises in developed and emerging stock markets. Financial Analysts Journal, 54(6), pp.50-61.
Perković, A. (2011). Research of beta as adequate risk measure-is beta still alive?. Croatian Operational Research Review , 2 (1), 102-111.
Phillps P.C.B., J. Yu, 2011. Dating the Timeline of Financial Bubbles during the Subprime Crisis, Quantitative Economics, 2(3), pp.455-491.
Phillips P.C.B., J. Wu and J. Yu, 2011. Explosive Behaviour in the 1990s Nasdaq: When did Exuberance Escalate Asset Values, International Economic Review, 2011, 52(1), pp.201-226.
Phillips, P. C., Wu, Y., & Yu, J. (2011). Explosive behavior in the 1990s Nasdaq: When did exuberance escalate asset values?. International economic review , 52 (1), 201-226.
Poon, S. H., & Granger, C. W. (2003). Forecasting volatility in financial markets: A review. Journal of economics , 41 (2), 478-539.
Rezende, C.F., Pereira, V.S. and Penedo, A.S.T., 2019. Asset Pricing Model (CAPM) in Emerging Markets: Evidence in BRICS nations and comparisons with other G20. Future Studies Research Journal: Trends and Strategies, 11(2), pp.162-175.
Roll, R., 1977. A Critique of the Asset Pricing Theory’s Test Part I: On Past and Potential Testability of the Theory, Journal of Financial Econometrics, 4(2), pp.129-176.
Saji, T. (2014). Is CAPM Dead in Emerging Market? - Indian Evidence. IUP Journal of Financial Risk Management, 11(3), 7-17.
Sekuła, P. (2013). Szacowanie efektu wielkości spółki na GPW w Warszawie. Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia , (60), 105-114.
Sharpe, W.F., 1964. Capital asset prices: A theory of market equilibrium under conditions of risk. The journal of finance, 19(3), pp.425-442.
Shefrin, H. and Statman, M., Behavioral capital asset pricing theory. Journal of financial and quantitative analysis. 1987, 29(3), pp.323-349.
Shefrin H., L. Statman, 2000. Behavioral Portfolio Theory, Journal of Finance and Quantitative Analysis, 35(2), pp.127-151.
Shiller, R.J., 1981. Alternative tests of rational expectations models: The case of the term structure. Journal of Econometrics, 16(1), pp.71-87.
Shiller R.J., Investor Behavior in the 1987 Stock Market Crash: Survey Evidence, NBER working paper, 1987, pp.2446.
Shiller R.J., Portfolio Insurance and Other Investor Fashions as Factors in the 1987 Stock Market Crash. NBER Macroeconomics Annual, 1988, 3, pp.287-297.
Shiller R.J., J. Pound, 1994. Survey Evidence on the Diffusion of Interest and Information Among Investors. Journal of Economics: Behaviour and Organization, 12(1), pp.47-66.
Shefrin, H. and Statman, M., 2000. Behavioral portfolio theory. Journal of financial and quantitative analysis, 35(2), pp.127-151.
Shinong, W. and Nianhang, X., 2004. A comparative study on the rational asset pricing model and irrational asset pricing model: Evidence from stock market in China. Economic Research Journal, 6, pp.101-106.
Suh, S., Song, W. and Lee, B.S., 2014. A new method for forming asset pricing factors from firm characteristics. Applied Economics, 46(28), pp.3463-3482.
Trifan, A. L. (2009). Testing capital asset pricing model for Romanian capital market. Annales Universitatis Apulensis: Series Oeconomica , 11 (1), 426.
Trimech A. H. Kortas, S. Benammous and S. Benammou, 2009. Multiscale Fama-French Model: Application to the French Market. The Journal of Risk Finance, 10(2), pp.179-192.
Tomanova, Lucie. "Exchange Rate Volatility Exposure on Corporate Cash Flows and Stock Prices: The Case of Poland." Business Challenges in the Changing Economic Landscape-Vol. 1. Springer, Cham, 2016. 273-285.
Urbański, Stanisław. "Comparison of a Modified and Classic Fama-French Model for the Polish Market." Folia Oeconomica Stetinensia 17.1 (2017): 80-96. Web.
Van Horne, J.C., 1980. An application of the capital asset pricing model to divisional required returns. Journal of Financial Management, pp.14-19.
West K.D., 1987. A Specification Test for Speculative Bubbles, Journal of Economics, 102(4), pp.553-580.
Yüksel, A., Yüksel, A., & Doğanay, M. M. (2010). The role of liquidity in the pricing of stocks traded on the Istanbul Stock Exchange.
Zaremba, A., & Konieczka, P. (2014). Value, size and momentum across countries. Indian Journal of Finance , 8 (9), 7-31.
Zaremba, A. (2015). Efekt wartości, wielkości i momentum a wycena aktywów na polskim rynku akcji,„. FINANSE Czasopismo Komitetu Nauk o Finansach PAN , 1 , 111+-143.
Předběžná náplň práce
Cenový model kapitálových aktiv (CAPM) je rovnovážný model pro testování vztahu mezi očekávaným výnosem a tržním rizikem (Sharpe, 1964). Modelový výzkum cen a návratnosti, když trh s cennými papíry dosáhne rovnováhy a investoři jsou racionální a investují diverzifikací založenou na teorii portfolia Markovitz (Markovitz, 1952). Fama a MacBeth (1973) navrhli průřezovou metodiku testování CAPM a tato regresní metoda se od té doby široce používá při testování CAPM na rozvinutých trzích. Zatímco CAPM je obtížné vysvětlit stále více tržních anomálií (nadměrná návratnost v menší společnosti s tržní hodnotou) v průřezové regresi, Fama a French (1992) přidaly další dva faktory (SMB a HML) a navrhly třífaktorový model. Empirické výsledky ukazují, že třífaktorový model je na rozvinutých trzích lepší než CAPM. Relevantní studie byly provedeny Manjuunatha (2006) a Trimech et al. (2015), ale vykazují odlišné výsledky. Tato dizertační práce bude používat průřezový přístup Fama-MacBeth k testování CAPM a třífaktorového modelu Fama-French na čínském a polském akciovém trhu. V návaznosti na Fama a MacBeth (1972) a Shweta a Anil (2015) se zkoumají tři podobdobí výnosů polského a čínského akciového trhu v období od roku 2007 do roku 2018. Empirické výsledky v této diplomové práci zahrnující různá časová období mají za cíl podpořit CAPM a třífaktorový model poskytováním důkazů o rozvíjejících se trzích, ale empirické výsledky na čínských a polských akciových trzích jednoznačně nepodporují cenový model kapitálových aktiv a závěr Fama-French. Práce se také týká modelu GARCH a odhadu maximální pravděpodobnosti pro testování volatility na čínském a polském akciovém trhu. Jako doplněk testu volatility následuje tato práce Phillips, Wu a Yu (2011) a Deng (2013), aby provedly nově navržené supADF a supKSS, konkrétně bublinové testy. Výsledky ukazují, že na čínském i polském akciovém trhu existuje nadměrná volatilita a bubliny, zejména v období krize.
Předběžná náplň práce v anglickém jazyce
Capital Asset Pricing Model (CAPM) is an equilibrium model to test relationship between expected return and market risk (Sharpe, 1964). The model research on pricing and return when the securities market reaches equilibrium and investors are rational and investing by diversification based on Markovitz portfolio theory (Markovitz, 1952). Fama and MacBeth (1973) proposed a cross-sectional testing methodology on CAPM and this regression method has been widely used in testing CAPM in developed markets since then. While CAPM is hard to explain more and more market anomalies (excessive return in smaller market value company) in cross section regression, Fama and French (1992) added two more factors (SMB and HML) and proposed three factor model. The empirical results show that three factor model is superior to CAPM in developed markets. Relevant studies have been conducted by Manjuunatha (2006) and Trimech et al. (2015) but show different results. This dissertation will use Fama-MacBeth cross section approach to test CAPM and Fama-French’s three factor model in Chinese and Polish stock market respectively. Following Fama and MacBeth (1972) and Shweta and Anil (2015), three sub periods of Polish and Chinese stock market returns ranging from 2007 to 2018 are examined. The empirical results in this thesis covering different time periods aim to support CAPM and three factor model by providing emerging markets evidence but the empirical results in Chinese and Polish stock markets do not unambiguously support Capital Asset Pricing model and Fama-French’s conclusion. The thesis also refers to GARCH model and Maximum Likelihood estimation to test volatility in Chinese and Polish stock market. As supplement of volatility test, this thesis follows Phillips, Wu and Yu (2011) and Deng (2013) to run newly-proposed supADF and supKSS, namely bubble tests. The results show that over-volatility and bubbles exist in both Chinese and Polish stock markets, especially during crisis period.
 
Univerzita Karlova | Informační systém UK