References

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Abhyankar, A., L. Copeland, and W. Wong. (1997). Uncovering nonlinear structure in real-time stock-market indexes: The S&P 500, the Dax, the Nikkei 225, and the FTSE-100. J. Bus. Econ. Stat. 15(1): 1-14.

Ades, A., and R. Di Tella. (1999). Rents competition and corruption. Am. Econ. Rev. 89: 982-993.

Affleck-Graves, J., and B. McDonald. (1989). Non-normalities and tests of asset pricing theories. J. Fin. 44: 889-908.

Affleck-Graves, J., and B. McDonald. (1990). Multivariate tests of asset pricing: The comparative power of alternative statistics. J. Finan. Quant. Anal. 25:163-185.

Ahn, S. C., Y. H. Lee, and P. Schmidt. (2001). GMM estimation of linear panel data models with time-varying individual effects. J. Economet. 101: 219-255.

Akgiray, V., and C. G. Lamoureux. (1989). Estimation of stable law parameters: A comparative study. J. Bus. Econ. Stat. 7: 85-93.

Allen, F., and R. Michaely. (1995). Dividend policy. In R. Jarrow et al., eds.,Handbooks in OR & MS, Vol. 9. Amsterdam, North Holland, pp. 963-992.

Anderson, G. (1996). Nonparametric tests of stochastic dominance in income distributions. Econometrica 64(5): 1183-1193.

Anderson, S., and W. Hauck. (1983). A new procedure for testing equivalence in comparative bioavailability and other clinical trials. Commun. Statist. 12: 2663-2692.

Ait-Sahalia, Y., Y. Wang, and F. Yared. (2001). Do option markets correctly price the probabilities of movement of the underlying asset? J. Economet. 102(1): 67-110.

Arrow, K. (1971). Essays in the Theory of Risk Bearing. Chicago: Markham Publishing.

Azzalini, A. (1985). A class of distributions which includes the normal ones. Scan. J. Stat. 12: 171-178. http://gwen.stat.unipd.it/SN/Intro/intro.html has a brief introduction.

Bai, J., and S. Ng. (2002). Determining the number of factors in approximate factor models. Econometrica 70: 191-221.

Banz, R. W. (1981). The relationship between return and market value of common stocks. J. Fin. Econ. 9(1): 3-18.

Bardhan, P. (1997). Corruption and development: A review of issues. J. Econ. Lit. 35: 1320-1346.

Bartow, W. E., and W. H. Sun. (1987). Bootstrapped confidence intervals for linear relative risk models. ASA Proc. Statist. Comput. Sect. 260-265.

Basu, S. (1977). Investment performance of common stocks in relation to their price-earnings ratios: A test of the efficient market hypothesis. J. Fin. 32: 763-782.

Basu, S. (1983). The relationship between earnings yield, market value, and return for NYSE common stocks. J. Fin. Econ. 12(1): 129-156.

Bates, D., and D. G. Watts. (1988). Nonlinear Regression Analysis and Its Applications. New York: Wiley.

Bauman, W. S., S. M. Conover, and R. E. Miller. (1998). Growth stocks versus value stocks and large versus small cap stocks in international markets. Fin. Anal. J. 54: 75-89.

Bauman, W. S., and R. E. Miller. (1997). Investor expectations and the performance of value stocks versus growth stocks. J. Portfolio Manag. 23: 57-68.

Baxter, M., and U. J. Jermann. (1997). The international diversification puzzle is worse than you think. Am. Econ. Rev. 87(1): 170-180.

Bawa, V. S. (1975). Optimal rules for ordering uncertain prospects. J. Fin. Econ. 2: 95-121.

Berger, J. O., and M. Delampady. (1987). Testing precise hypotheses. Stat. Sci. 2: 317-352.

Beran, R. (1987). Prepivoting to reduce level error in confidence sets. Biometrika 74: 457-468.

Bhattacharya, S. (1979). Imperfect information, dividend policy, and the bird in the hand fallacy. Bell J. Econ. 10: 259-270.

Black, F. (1972). Capital market equilibrium with restricted borrowing. J. Bus. (July): 444-455.

Black, F., and M. Scholes. (1973).The pricing of options and corporate liabilities. J. Pol. Econ. 81: 637-654.

Blanchard, O., and M. Watson. (1982). Bubbles, rational expectations and financial markets. In P. Wachtel, ed., Crises in the Economic and Financial Structure. Lexington, MA: Lexington Books.

Blaug, M. (1962). Economic Theory in Retrospect. Homewood IL: Irwin.

Bollerslev,T., R. Engle, and J. Woolridge. (1988). Capital asset pricing model with time-verying covariances. J. Pol. Econ. 96:116-131.

Box, G. E. P., and G. C. Tiao. (1973). Bayesian Inference in Statistical Analysis. Reading, MA: Addison Wesley.

Brennan, M. J., and E. S. Schwartz. (1980). Analyzing convertible bonds. J. Fin. Quantit. Anal. 15: 907-929.

Brock, W. A., D. Hsieh, and B. LaBaron. (1991). Nonlinear Dynamics, Chaos and Instability: Statistical Theory and Empirical Evidence. Cambridge: MIT Press.

Brown, S. J., and W. N. Goetzmann. (1995). Performance persistence. J. Fin. 50: 679-698.

Campbell, J. Y. (1987). Stock returns and the term structure. J. Fin. Econ. 18: 373-399.

Campbell, J. Y., A. W. Lo, and A. C. MacKinley. (1997). The Econometrics of Financial Markets. Princeton: Princeton University Press.

Campbell, J. Y., and L. Hentschel. (1992). No news is good news: An asymmetric model of changing volatility in stock returns. J. Fin. Econ. 31: 281-318.

Campbell, J. Y., A. W. Lo, and A. C. MacKinlay. (1997). The Econometrics of Financial Markets. Princeton: Princeton University Press.

Capaul, C., J. Rowley, and W. F. Sharpe. (1993). Intertemporal value and growth stock returns. Fin. Anal. J. 49: 27-41.

Carpenter, J. F., and A. Lynch. (1999). Survivorship bias and attrition effects in measures of performance persistence. J. Fin. Econ. 54: 337-374.

Carroll, C. D., and M. S. Kimball. (1996). On the concavity of the consumption function. Econometrica 64(4): 981-992.

Casella, G., and E. I. George. (1992). Explaining the Gibbs sampler. Am. Statist. 46(3): 167-185.

Cecchetti, S. G., P. Lam, and N. C. Mark. (1990). Mean reversion in equilibrium asset prices. Am. Econ. Rev. 80: 398-418.

Chamberlain, G., and M. R. Rothschild. (1983). Arbitrage and mean-variance analysis on large asset markets. Econometrica 51: 1281-1304.

Chan, K. C., G. A. Karolyi,F. A. Longstaff, and A. B. Sanders. (1992).An empirical comparison of alternate models of the short-term interest rate. J. Fin. 57:1209-1227.

Chang, J.-K., J. C. Morley, C. R. Nelson, N. Chen, R. Roll, and S. A. Ross. (1986). Economic forces and the stock market. J. Bus. 59: 383-403.

Chang, R., and A. Velasco. (1998). Financial crises in emerging markets: A canonical model. Working Paper 98-21, C. V. Starr Center. Department of Economics, New York University.

Cheung, Y., and D. Griedman. (1997). Individual learning in normal form games: Some laboratory results. Games and Econ. Beh. 19: 46-76.

Chidambaran, N. K., C.-W. Jevons, and J. R. Trigueros. (2000). Option pricing via genetic programming. In Y. S. Abu-Mostafa, B. LeBaron, A. W. Lo, and A. S. Weigend, eds., Computational Finance 1999. Cambridge: MIT Press, pp. 583-598.

Chou,P. H., and G. Zhou. (1997). Using bootstrap to test portfolio efficiency. Paper presented to the fourth Asia-Pacific Finance Association Conference, Kuala Lumpur.

Clover, C. (2000). Russian oligarchs take the bankruptcy route to expansion. Fin. Times, July 25.

Connor, G., and R. A. Korajczyk. (1986). Performance measurement with the arbitrage pricing theory: A new framework for analysis. J. Fin. Econ. 15: 373-394.

Connor, G., and R. A. Korajczyk. (1988). Risk and return in an equilibrium APT: Application of a new test methodology. J. Fin. Econ. 21: 255-289.

Connor, G., and R. A. Korajczyk. (1993). A test for the number of factors in an approximate factor model. J. Fin. 48:1263-1291.

Constantinides, G. M., and J. E. Ingersoll. (1984). Optimal bond trading with personal taxes. J. Fin. Econ. 13: 299-335.

Cox, J. C. (1975). Notes on option pricing I: Constant elasticity of variance diffusions. Working Paper. Stanford University.

Cox, D. R., and D. Hinkley. (1982). Theoretical Statistics. New York: Chapman and Hall.

Cox, J. C., J. E. Ingersoll, and S. A. Ross. (1980). An analysis of variable rate loan contracts. J. Fin. 35: 389-403.

Cox, J. C., J. E. Ingersoll, and S. A. Ross. (1985). A theory of the term structure of interest rates. Econometrica 53: 385-407.

Cox, J. C., and S. Ross. (1976). The valuation of options for alternative stochastic processes. J. Fin. Econ. 3:145-166.

Cross, F. (1973). The behavior of stock prices on Fridays and Mondays, Fin. Anal. J. 29: 67-69.

Cumby, R. E., and J. D. Glen. (1990). Evaluating the performance of international mutual funds. J. Fin. 45: 497-521.

Davison, A. C., and D. V. Hinkley. (1997). Bootstrap Methods and Their Applications. New York: Cambridge University Press.

DeRoon, F. A., and T. E. Nijman. (2001). Testing for mean variance spanning: A survey. J. Empir. Fin. 8(2): 111-155.

Deshpande, J. V., and H. Singh. (1985). Testing for second order stochastic dominance. Commun. Stat. Theory Meth. 14: 887-897.

D'Souza, M. I. (2002). Emerging countries stock markets: An analysis using an extension of the three-factor CAPM. Ph.D. dissertation. Economics Department, Fordham University.

Dothan, U. L. (1978). On the term structure of interest rates. J. Fin. Econ. 6: 59-69.

Easterwood, J. C., and S. R. Nutt. (1999). Inefficiency in analysts' earnings forecasts: Systematic misreaction or systematic optimism? J. Fin. 54:1777-1797.

Efron, B. (1979). Bootstrap methods: Another look at the jackknife. An. Stat. 7: 126.

Efron, B., and R. Tibshirani. (1993). An Intoduction to the Bootstrap. New York: Chapman and Hall.

Elton, E. J., M. J. Gruber, and C. R. Blake. (1995). Survivorship bias and mutual fund performance. Rev. Fin. Stud. 9: 1097-1120.

Engle, R. (2001). GARCH 101: The use of ARCH/GARCH models in applied econometrics. J. Econ. Persp. 15(4): 157-168.

Erlich, I., and F. T. Lui. (1999). Bureaucratic corruption and endogenous economic growth. J. Pol. Econ. 107(6): s270-s293.

Espahbodi, R., A. Dugar, and H. Tehranian. (2001). Further evidence on optimism and underreaction in analysts' forecasts. Rev. Fin. Econ. 10:1-21.

Fama, E. F., and K. R. French. (1988). Permanent and temporary components of stock prices. J. Pol. Econ. 96: 246-273.

Fama, E. F., and K. R. French. (1992). The cross section of expected stock returns. J. Fin. 47(2): 427-465.

Fama, E. F., and K. R. French. (1995). Size and book-to-market factors in earnings and returns. J. Fin. 50:131-155.

Fama, E. F., and J. D. MacBeth. (1973). Risk, return and equilibrium: Empirical test.

J. Pol. Econ. 81: 607-636. Fama, E.F., and R. Roll. (1971). Parameter estimates for symmetric stable distributions.

J. Am. Stat. Assoc. 66: 331-338. French, K. R., G. W. Schwert, and R. F. Stambaugh. (1987). Expected stock returns and volatility. J. Fin. Econ. 19: 3-29. French, K. R., and J. M. Poterba. (1991). Investor diversification and international equity markets. Am. Econ. Rev. 81(2): 222-226. Friedman, M., and L. J. Savage. (1948). The utility analysis of choices involving risk.

J. Pol. Economy 56(4): 279-304. Friedman, J., and W. Stuetzle. (1981). Projection pursuit regression. J. Am. Stat. Assoc. 76: 817-823.

GAUSS, Aptech Corp. Maple Valley, WA ([email protected]).

Geddes, R., and H. D. Vinod. (2002). CEO tenure, board composition, and regulation.

J. Reg. Econ. 21: 217-235. Gibbons, M., and W. Ferson. (1985).Tests of asset pricing models with changing expectations and an unobservable market portfolio. J. Fin. Econ. 14: 217-236. Gill, P. E., W. Murray, and M. H. Wright. (1981). Practical Optimization. New York: Academic Press.

Gordon, M. G., M. G. Paradis, and C. Rorke. (1972). Experimental evidence on alternative portfolio decision rules. Am. Econ. Rev. 62:107-118. Greene, W. H. (2000). Econometric Analysis, 4th ed. Upper Saddle River, NJ: Prentice Hall.

Groenewold, N., and P. Fraser. (1997). Share prices and macroeconomic factors. J. Bus.

Fin. Account. 24:1367-1383. Gruber, M. J. (1996). Another puzzle: The growth in actively managed mutual funds. J. Fin. 51: 783-811.

Hansen, L. P., and R. Jeganathan. (1991). Implications of security market data for models of dynamic economies. J. Pol. Econ. 99: 225-262. Hardy, D. C., and C. Pazarbasioglu. (1999). Determinants and leading indicators of banking crises: Further evidence. IMF Staff Papers 46(3): 247-258. Hendricks, D., J. Patel, and R. Zeckhauser. (1997). The J-shape of performance: Persistence given survivorship bias. Rev. Econ. Stat. 79: 161-170. Heyde, C. C. (1997). Quasi-likelihood and Its Applications. New York: Springer Verlag. Hogan,W., and J.Warren. (1974).Towards the development of an equilibrium capital market model based on semivariance. J. Fin. Quantit. Anal. 9:1-11. Hsu, D.-A., R. B. Miller, and D. W. Wichern. (1974). On the stable Paretian behaviour of stock-market prices. J. Am. Stat. Assoc. 69(345): 108-113. Huberman, G., and S. Kandel. (1987). Mean variance spanning. J. Fin. 42: 873-888. Hull, J. C. (1997). Options, Futures, and Other Derivatives, 4th ed. Upper Saddle River, NJ: Prentice Hall.

Huang, C., and R. H. Litzenberger. (1988). Foundations for Financial Economics. Upper

Saddle River, NJ: Prentice Hall. Ibbotson, R. G., and J. R. Ritter. (1995). Initial Public Offerings. In R. Jarrow et al., eds., Handbooks in OR & MS, 9: 993-1016.

IMF. (2001). International monetary fund. Annual report on exchange restrictions.

Ingersoll, J. E. (1997). Theory of Financial Decision Making. Savage, MD: Rowman and Littlefield.

Jegadeesh, N. (1991). Seasonality in stock price mean reversion: Evidence from the U.S. and the U.K. J. Fin. 46:1427-1444.

Jobson, J. D., and B. M. Korkie. (1981). Performance hypothesis testing with the Sharpe and Treynor measures. J. Fin. 36(4): 889-908.

Jog, V. (1998). Canadian stock pricing anomalies: Revisited. Can. Invest. Rev. (Winter): 28-33.

Kagan, A. M., Y. V. Linnik, and C. R. Rao. (1973). Characterization Problems in Mathemataical Statistics. New York: Wiley.

Kahneman, D., and A. Tversky. (1979). Prospect theory: An analysis of decision under risk. Econometrica 47(2): 263-291.

Kaminski, G., S. Lizondo, and C. Reinhart. (1998). Leading indicators of currency crises. IMF Staff Papers 45:1-45.

Kaminski, G., C. Reinhart, and C. Vegh. (2003). The unholy trinity of financial contagion. J. Econ. Persp. 17: 51-74.

Karakitos, E. (2002). A Macro and Financial Model of G4. London: Trafalgar Asset Managers Ltd.

Keim, D. (1983). Size-related anomalies and stock return seasonality. J. Fin. Econ. 12: 13-22.

Kendall, M. G., and A. Stuart. (1979). The Advanced Theory of Statistics, 4th ed. Vol. 2. New York: Macmillan.

Kim, C.-J., and C. R. Nelson. (1998). Testing for mean reversion is heteroskedastic data II: Autoregression tests based on Gibbs-sampling-augmented randomization. J. Empir. Fin. 5: 385-396.

Kim, C.-J., J. C. Morley, and C. R. Nelson. (2001). Is there a positive relationship between stock market volatility and the equity premium? Manuscript. Washington University.

Kim, M.-J., C. R. Nelson, and R. Startz. (1991). Mean reversion in stock prices? A reappraisal of the empirical evidence. Rev. Econ. Stud. 48: 515-528.

Koenig,E.F.,T.F.Siems,and M.A.Wynne. (2002).New economy,new recession? Southwest Econ. Fed. Res. Bank of Dallas 2:11-16.

Kovaleski, D. (2002).Falling down:Assets sink 7.2% in a bad year for DC mutual funds; managers follow market downturn; assets in top funds fall to $282 billion. Pensions and Invest. (April) 29: 21.

Kuan, C.-M., and H. White. (1994). Artificial neural networks: An econometric perspective. Economet. Rev. 13(1): 1-91.

Kraus, A., and R. H. Litzenberger. (1976). Skewness preference and the valuation of risk assets. J. Fin. 31(4): 1085-1100.

Lakonishok, J., A. Shleifer, and R. W. Vishny. (1994). Contrarian investment, extrapolation, and risk. J. Fin. 49:1541-1578.

Lamont, O. A., and R. H. Thaler. (2003). Anomalies: The law of one price in financial markets. J. Econ. Persp. 17(4): 191-202.

Lattimore, P. K., P. Baker, and A. D. Witte. (1992).The influence of probability on risky choice: A parametric examination. J. Econ. Beh. Org. 17: 377-400.

Lehmann, E. L. (1986). Testing Statistical Hypotheses, 2nd ed. New York: Wiley.

Lehmann, E. L. (1993). Theories of testing hypotheses: One theory or two? J. Am. Stat. Assoc. 88:1242-1249.

Leinweber, D. (2001). Internet information for transaction cost control. In B. R. Bruce, ed., Transaction Costs: A Cutting Edge to Best Execution, Institutional Investors, Inc.

Lintner, J. (1965).The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Rev. Econ. Stat. 47:13-37.

Lintner, J. (1969). Aggregation of investor's diverse judgments and preferences in a purely competitive security markets. J. Fin. Quantit. Anal. (Dec.) 4: 347-400.

Longin, F., and B. Solnik. (2001). Extreme correlation of international equity markets. J. Fin. 56(2): 649-676.

Maasoumi, E., and J. Racine. (2002). Entropy and predictability of stock market returns. J. Economet. 107: 291-312.

MacKinlay,A. C., and M. P. Richardson. (1991). Using generalized methods of moments to test mean-variance efficiency. J. Fin. 46: 511-527.

Maheu, J. M., and T. H. McCurdy. (2000). Identifying bull and bear markets in stock returns. J. Bus. Econ. Stat. 18:100-112.

Malkiel, B. G. (1995). Returns from investing in equity mutual funds 1971 to 1991. J. Fin. 50: 549-572.

Mardia, K. V., J. T. Kent, and J. M. Bibby. (1979). Multivariate Analysis. New York: Academic Press.

Markowitz, H. (1952a). The utility of wealth. J. Pol. Economy 60:151-158.

Markowitz, H. (1952b). Portfolio selection. J. Fin. 7: 77-91.

Markowitz, H. (1959). Portfolio Selection: Efficient Diversification of Investments. New York: Wiley.

Marsaglia, G. (1996). DIEHARD: A battery of tests of randomness. stat.fsu.edu/~geo/. E-mail: [email protected].

Mayers, D. (1972). Non-marketaable assets and the capital market equilibrium under uncertainty. In M. Jensen, ed., Studies in the Theory of Capital Markets. New York: Praeger, pp. 223-248.

McCullagh, P., and J. A. Nelder. (1989). Generalized Linear Models, 2nd ed. New York: Chapman and Hall.

McCullough, B. D. (2004). Some details of nonlinear estimation. In M. Altman, J. Gill, and M. P. McDonald, eds., Numerical Methods in Statistical Computing for the Social Sciences. New York: Wiley.

McCullough, B. D., and C. G. Renfro. (1999). Benchmarks and software standards: A case study of GARCH procedures. J. Econ. Soc. Meas. 25(2): 59-71.

McCullough, B. D., and H. D. Vinod. (1998). Implementing the double bootstrap. Comput. Econ. 12:79-95.

McCullough, B. D., and H. D. Vinod. (1999). The numerical reliability of econometric software. J. Econ. Lit. 37(2): 633-665.

McCullough, B. D., and H. D. Vinod. (2003a). Verifying the solution from a nonlinear solver. Am. Econ. Rev. 93(3): 873-892.

McCullough, B. D., and H. D. Vinod. (2003b). Comments: Econometrics and software. J. Econ. Persp. 17(1): 223-224.

McCullough, B. D., and H. D. Vinod. (2004). Verifying the solution from a nonlinear solver. Reply. Amer. Econ. Rev. 94(1): 391-396 & 400-403.

McElroy, M. B., and E. Burmeister. (1988). Arbitrage pricing theory as a restricted nonlinear multivariate regression model: Iterated nonlinear seemingly unrelated regression estimates. J. Bus. Econ. Stat. 6: 29-42.

Mehra, R., and E. Prescott. (1985). The equity premium puzzle. J. Monetary Econ. 15: 145-161.

Merton, R. (1973a). An intertemporal capital asset pricing model. Econometrica (September) 41: 867-888.

Merton, R. C. (1973b). Theory of rational option pricing. Bell J. Econ. Manag. Sci. 4: 141-183.

Merton, R. C. (1976). Option pricing when underlying stock returns are discontinuous. J. Fin. Econ. 3:125-144.

Merton, R. C. (1990). Continuous Time Finance. Cambridge, MA: Blackwell.

Mookherjee, D., and B. Sopher. (1994). Learning behavior in an experimental matching pennies game. Games and Econ. Beh. 7: 62-91.

Morey, M. R., and H. D. Vinod. (2001).A double Sharpe ratio. In C. F. Lee, ed., Advances in Investment Analysis and Portfolio Management, Vol. 8. New York: JAI-Elsevier Science, pp. 57-65.

Morningstar. (2000). On-Disk, Principia, Principia-Plus, and Principia-Pro Manuals (Various editions from 1991-2000). Chicago: Morningstar Publications.

NIST. (1999). National Institute of Standards and Technology. US Dept. of Commerce, Technology Administration, Gaithersburg, MD 20899-001. Statistical Reference Data Sets (StRD). www.itl.nist.gov/div898/strd/general/dataarchive.html.

Omran, M. F. (2001). International evidence on extreme values and value at risk of stock returns. Proc. Business and Economic Statistics Section of the American Statistical Association. Alexandria, VA: ASA.

Ord, J. K. (1968). The discrete Student's distribution. An. Math. Stat. 39:1513.

Pedersen, C. S. (1998). Empirical tests for differences in equilibrium risk measures with application to downside risk in small and large UK companies. U. of Cambridge Discussion Papers in Accounting and Finance: AF41.

Poterba, J. M., and L. H. Summers. (1988). Mean reversion in stock prices: Evidence and implications. J. Fin. Econ. 22: 27-59.

Prelec, D. (1998). The probability weighting function. Econometrica 66(3): 497-527.

Qi, M. (1999). Nonlinear predictability of stock returns using financial and economic variables. J. Bus. Econ. Stat. 17(4): 419-429.

Rachev, S., E. Schwartz, and I. Khindanova. (2001). Stable modeling of market and credit value at risk. Proc. Business and Economic Statistics Section of the American Statistical Association. Alexandria, VA: ASA.

Rachev, S. T., and S. Mittnik. (2000). Paretian models in finance. New York: Wiley.

Racine, J. (2001). On the nonlinear predictability of stock returns using financial and economic variables. J. Bus. Econ. Stat. 19(3): 380-382.

Reagle D., and H. D. Vinod. (2003). Inference for negativist theory using numerically computed rejection regions. Computa. Statis. Data Ana. 42: 491-512.

Reagle, D., and H. D. Vinod. (2002). Measuring the asymmetry of stock market risk. 2001 Proc. Bus. Econ. Statist. Sec. Amer. Stat. Assoc. Alexandria, VA: ASA.

Richardson, M. (1993).Temporary components of stock prices: A skeptic's view. J. Bus. Econ. Stat. 11:199-207.

Richardson, M., and J. H. Stock. (1989). Drawing inferences from statistics based on multiyear asset returns. J. Fin. Econ. 25: 323-348.

Richardson, M. P., and T. Smith. (1993). A test for multivariate normality in stock returns. J. Bus. 66: 295-321.

Ritchken,P., and W. K. Chen. (1987). Downside risk option pricing models. In S. Khoury, and A. Ghosh, eds., Recent Developments in International Banking and Finance, Vol. 2. Lexington, MA: D. C. Heath, pp. 205-225.

Rogers, J., J. Filliben, L. Gill, W. Guthrie, E. Lagergren, and M. Vangel (1998). StRD: Statstical reference datasets for testing the numerical accuracy of statistical software. NIST\#1396. National Institute of Standards and Technology.

Roll, R. (1976). A critique of the asset pricing theory's tests. J. Fin. Econ. (March) 4: 129-176.

Roll, R., and S. Ross. (1980). An empirical investigation of the arbitrage pricing theory. J. Fin. (December) 35:1073-1103.

Rose, C., and M. D. Smith. (2002). Mathematical Statistics with Mathematica. New York: Springer Verlag.

Ross,S. (1976).The arbitrage theory of capital asset pricing. J. Econ. Theory 13:341-360.

Rubinstein, M. (1973). A mean-variance synthesis of corporate finance theory. J. Fin. (March) 28:167-182.

Rubinstein, M. (1976). The valuation of uncertain income streams and the pricing of options. Bell J. Econ. Manag. Sci. 7: 407-425.

Salvatore, D. (1999). Lessons from the financial crisis in East Asia. J. Pol. Modeling 21: 283-347.

Salvatore, D., and D. Reagle. (2000). Forecasting financial crises in emerging market economies. Open Econ. Rev. 11: 247-259.

Samuelson, P. (1983). Foundations of Economic Analysis. Cambridge: Harvard University Press.

Santangelo, G. (2004). Analysis of international data revision: Theory and application. Ph.D. dissertation. Economics Department, Fordham University.

Schaller, H., and S. van Norden. (1997). Regime switching in stock market returns. Appl. Fin. Econ. 7:177-191.

Schmid, F., and M. Trede. (1996). Nonparametric tests for second-order stochastic dominance from paired observations. In V. D. Lippe et al., eds., Wirtschafts und Sozialstatistik Heute, Theorie und Praxis, Festschrift für Walter Krug. Köln, Germany: Verlag Wissenschaft & Praxis.

Schmid, F., and M. Trede. (1998). A Kolmogorov-type test for second-order stochastic dominance. Stat. Prob. Lett. 37:183-193.

Schuirmann, D. L. (1987). A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J. Pharmacokin. Biopharmac. 15: 657-680.

Schwartz, E. S., and W. N. Torous. (1989). Prepayment and the valuation of mortgage-backed securities. J. Fin. 45: 375-392.

Schwert, G. W. (1989). Business cycles, financial crises, and stock volatility. CarnegieRochester Conference Series on Public Policy 31: 83-126.

Serrat, A. (2001). A dynamic equilibrium model of international portfolio holdings Econometrica 69(6): 1467-1490.

Shanken, J. (1985a). Multi-beta CAPM or equilibrium APT? A reply. J. Fin. (September) 40: 1189-1196.

Shanken, J. (1985b). Multivariate tests of the zero-beta CAPM. J. Fin. Econ. (September) 14: 327-348.

Sharpe, W. F. (1966). Mutual fund performance. J. Bus. 39(P2): 119-138.

Sheather, S. J., and M. C. Jones. (1991). A reliable data-based bandwidth selection method for kernel density estimation. Stat. Methodol.: J. Royal Stat. Soc. Ser. B 53: 683-690.

Shenton, L. R., and H. D. Vinod. (1995). Closed forms for asymptotic bias and variance in autoregressive models with unit roots. J. Comput. Appl. Math. 61: 231-243.

Silverman, B. W. (1986). Density estimation for statistics and data analysis. New York: Chapman and Hall.

S-Plus. Insightful Corp. 1700 Westlake Avenue North. Seattle, WA. [email protected].

Starmer, C. (2000). Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. J. Econ. Lit. 38: 332-382.

Summers, L. H. (1986). Does the stock market rationally reflect fundamental values? J. Fin. 41: 591-601.

Tenorio, R., and T. N. Cason. (2002). To spin or not to spin? Natural and laboratory experiments from "the price is right". Econ. J. 112:170-195.

ter Horst, J. R.,T. E. Nijman, and M. Verbeek. (2001). Eliminating look-ahead bias in evaluating persistence in mutual fund performance. J. Emp. Fin. 8: 345-373.

Theil, H., and K. Laitinen. (1980). Singular moment matrices in applied econometrics. In P. R. Krishnaiah, ed., Multivariate Analysis—V. New York: North-Holland, pp. 629-649.

Thompson, J., M. K. Yucel, and J. V. Duca. (2002). Economic impact of biotechnology, southwest economy. Federal Reserve Bank of Dallas (2): 1-20.

Treynor, J. L. (1965). How to rate management of investment funds. Harvard Bus. Rev. 43: 63-75.

Tsay, R. S. (2002). Analysis of Financial Time Series. New York: Wiley.

Turner, C. M., R. Startz, and C. R. Nelson. (1989). A Markov model of heteroskedas-ticity, risk, and learning in the stock market. J. Fin. Econ. 25: 3-22.

Vasicek, O. (1977). An equilibrium characterization of the term structure. J. Fin. Econ. 5:177-188.

Vinod, H. D. (1982). Maximum entropy measurement error estimator of singular covariance matrices. J. Econ. 20:163-174.

Vinod, H. D. (1985). Measurement of economic distance between blacks and whites. J. Bus. Econ. Stat. 3: 78-88.

Vinod, H. D. (1993). Bootstrap, jackknife resampling and simulation: Applications in econometrics. In G. S. Maddala, C. R. Rao, and H. D. Vinod, eds., Handbook of Statistics: Econometrics, Vol. 11. New York: North Holland, pp. 629-661.

Vinod, H. D. (1995). Double bootstrap for shrinkage estimators. J. Economet. 68: 287-302.

Vinod, H. D. (1996). Consumer behavior and a target seeking supply side model for income determination. In M. Ahsanullah, and D. Bhoj, eds., Applied Statistical Science, I. Carbondale, IL: Nova Science, pp. 219-233.

Vinod, H. D. (1997). Concave consumption, Euler equation and inference using estimating functions. Proc. Business and Economic Statistics Section of the American Statistical Association. Alexandria, VA: ASA, pp. 118-123.

Vinod, H. D. (1998a). Nonparametric estimation of nonlinear money demand cointe-gration equation by projection pursuit methods. In S. Weisberg, ed., 30th Symp. on the Interface, Computing Science and Statistics, Vol. 30. Fairfax Station, VA: Interface Foundation, p. 174.

Vinod, H. D. (1998b). Foundations of statistical inference based on numerical roots of robust pivot functions (Fellow's corner). J. Economet. 86: 387-396.

Vinod, H. D. (1999). Statistical analysis of corruption data and using the internet to reduce corruption. J. Asian Econ. 10: 591-603.

Vinod, H. D. (2000a). Review of Gauss for windows, including its numerical accuracy. J.Appl. Economet. 15(2): 211-220.

Vinod, H. D. (2000b). Ranking mutual funds using unconventional utility theory and stochastic dominance. Discussion Paper. Fordham University.

Vinod, H. D. (2000c). Foundations of multivariate inference using modern computers. Linear Algebra Appl. 321:365-385.

Vinod, H. D. (2000d). Non-expected utility, stochastic dominance and new summary measures for risk. Presented at Joint Statistical Meetings of International Indian Statistical Association. J. Quanti. Econ. 17(1): 1-24.

Vinod, H. D. (2001). Non-expected utility, stochastic dominance and new summary measures for risk. J. Quanti. Econ. 17(1): 1-24.

Vinod, H. D. (2003a). Open economy and financial burden of corruption: Theory and application to Asia. J. Asian Econ. 12: 873-890.

Vinod, H. D. (2003b). Constructive ensembles for time series in econometrics and finance. Proc. 35th Symp. on Interface between Computing Science and Statistics [CD-ROM]. Interface Foundation of North America, PO Box 7460, Fairfax Station, VA 22039. Presented in Salt Lake City, March 14, 2003.

Vinod, H. D. (2004). Ranking mutual funds using unconventional utility theory and stochastic dominance. J. Empir. Fin. 11(3): 353-377.

Vinod, H. D., and M. R. Morey. (2000). Confidence intervals and hypothesis testing for the Sharpe and Treynor performance measures: A bootstrap approach. In Y. S. Abu-Mostafa, B. LeBaron, A. W. Lo, and A. S. Weigend, eds., Computational Finance 1999. Cambridge: MIT Press, pp. 25-39.

Vinod, H. D., and M. R. Morey. (2001).A double Sharpe ratio. In C. F. Lee,ed., Advances in Investment Analysis and Portfolio Management, Vol. 8. New York: JAI-Elsevier Science, pp. 57-65.

Vinod, H. D., and L. R. Shenton. (1996). Exact moments for autoregressive and random walk models for a zero or stationary initial value. Economet. Theory 12: 481499.

Xie, A. (2002). Downside Risk Measures. Ph.D. dissertation. Economics Department, Fordham University.

Yu, E. S. H., I. C. H. Chin, H. F. Y. Hang, and G. L. C. Wai. (2001). Managing risk by using derivatives: The case of Hong Kong firms. Rev. Pacific Basin Fin. Markets Policies 4(4): 417-425.

Zheng, L. (1999). Is money smart? A study of mutual fund investors' fund selection ability. J. Fin. 54: 901-933.

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