Olkhov, Victor (2022): The Market-Based Asset Price Probability.
This is the latest version of this item.
![]() |
PDF
MPRA_paper_122973.pdf Download (312kB) |
Abstract
We consider volume weighted average price (VWAP) as the 1st market-based statistical moment and derive the dependence of higher statistical moments of price on statistical moments and correlations of the values and volumes of market trades. If all trade volumes are constant during the averaging interval, then the market-based statistical moments equal the frequency-based. We approximate market-based probability of price by a finite number of statistical moments. The use of VWAP results in zero price-volume correlations. We derive the expressions of market-based correlations between prices and squares of trade volumes and between squares of prices and volumes. To forecast market-based averages and volatility of asset prices, one should predict two statistical moments and the correlation of their trade values and volumes. We explain how that limits the number of predicted statistical moments of prices by the first two and limits the accuracy of the forecasts of the probability of asset prices by the accuracy of the Gaussian approximations. To improve the accuracy and reliability of large macroeconomic and market models like those developed by BlackRock's Aladdin, JP Morgan, and the U.S. Fed., the developers should use market-based statistical moments of asset prices.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Market-Based Asset Price Probability |
English Title: | The Market-Based Asset Price Probability |
Language: | English |
Keywords: | asset price; price probability; returns; inflation; market trades |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
Item ID: | 122973 |
Depositing User: | Victor Olkhov |
Date Deposited: | 17 Dec 2024 07:55 |
Last Modified: | 17 Dec 2024 07:55 |
References: | Andersen, T., Bollerslev, T., Diebold, F.X, Ebens, H. (2001). The Distribution of Realized Stock Return Volatility, Journal of Financial Economics, 61, 43-76 Andersen, T.G, Bollerslev, T., Christoffersen, P.F. and F.X. Diebold, (2005). Volatility Forecasting, CFS WP 2005/08, 1-116 Andersen, T.G., Bollerslev, T., Christoffersen, P.F., and Diebold, F.X. (2006). Volatility and Correlation Forecasting, in G. Elliot, C.W.J. Granger, and Allan Timmermann (eds.), Handbook of Economic Forecasting. Amsterdam: North-Holland, 778-878 Bachelier, L., (1900). Théorie de la speculation, Annales scientifiques de l’É.N.S. 3e série, 17, 21-86 Berkowitz, S.A., Dennis, E., Logue, D.E., Noser, E.A. Jr. (1988). The Total Cost of Transactions on the NYSE, The Journal of Finance, 43, (1), 97-112 Black, F. and M. Scholes, (1973). The Pricing of Options and Corporate Liabilities, J. Political Economy, 81 (3), 637-654 Brock, W.A. and B.D. LeBaron, (1995). A Dynamic structural model for stock return volatility and trading volume. NBER, WP 4988, 1-46 Buryak, A. and I. Guo, (2014). Effective And Simple VWAP Options Pricing Model, Intern. J. Theor. Applied Finance, 17, (6), 1450036, https://doi.org/10.1142/S0219024914500356 Busseti, E. and S. Boyd, (2015). Volume Weighted Average Price Optimal Execution, 1-34, arXiv:1509.08503v1 Campbell, J.Y. and R.J. Shiller, (1988). Stock Prices, Earnings And Expected Dividends. NBER, WP 2511, 1-42 Campbell, J.Y., Grossman, S.J. and J.Wang, (1993). Trading Volume and Serial Correlation in Stock Return. Quatr. Jour. Economics, 108 (4), 905-939 Campbell, J.Y. (1998). Asset Prices, Consumption, and the Business Cycle. NBER, WP6485 Campbell, J.Y. (2000). Asset Pricing at the Millennium. Jour. of Finance, 55(4), 1515-1567 Choudhry, M., (2013). An Introduction to Value-at-Risk, 5th Edition. Wiley, 1-224 CME Group, (2020). https://www.cmegroup.com/search.html?q=VWAP Cochrane, J.H. and L.P. Hansen, (1992). Asset Pricing Explorations for Macroeconomics. Ed., Blanchard, O.J., Fischer, S. NBER Macroeconomics Annual 1992, v. 7, 115 – 182 Cochrane, J.H. (2001). Asset Pricing. Princeton Univ. Press, Princeton, US Cochrane, J.H. (2005). Time Series for Macroeconomics and Finance. Graduate School of Business, Univ. Chicago, 1-136 Cochrane, J.H. (2022). Portfolios For Long-Term Investors, Rev. Finance, 26(1), 1–42 CreditMetrics™, (1997). Technical Document. J.P. Morgan & Co, NY. 1-212 DeFusco, A.A., Nathanson, C.G. and E. Zwick, (2017). Speculative Dynamics of Prices and Volume, Cambridge, MA, NBER WP 23449, 1-74 Diebold, F.X. and K. Yilmaz, (2008). Macroeconomic Volatility And Stock Market Volatility, Worldwide, NBER WP 14269, 1-35 Dimson. E. and M. Mussavian, (1999). Three centuries of asset pricing. J.Banking&Finance, 23(12) 1745-1769 Duffie, D., Dworczak, P. (2021). Robust Benchmark Design. Journal of Financial Economics, 142(2), 775–802 Fama, E.F. (1965). The Behavior of Stock-Market Prices. J. Business, 38 (1), 34-105 Fama, E.F. and K.R. French, (2015). A five-factor asset pricing model. J. Financial Economics, 116, 1-22 Fox, D.R., et al. (2019). Concepts and Methods of the U.S. National Income and Product Accounts, BEA, Dep. Commerce, US, Chapters 1-13, 1- 449 Friedman, D.D. (1990). Price Theory: An Intermediate Text. South-Western Pub. Co., US Gallant, A.R., Rossi, P.E. and G. Tauchen, (1992). Stock Prices and Volume, The Review of Financial Studies, 5(2), 199-242 Goldsmith, R.W. and R.E. Lipsey, (1963). Asset Prices and the General Price Level, NBER, 166 – 189, in Studies in the National Balance Sheet of the United States, Ed. Goldsmith, R.W. and R. E. Lipsey Greenwood, R. and A. Shleifer, (2014). Expectations of Returns and Expected Returns. The Review of Financial Studies, 27 (3), 714–746 Heaton, J. and D. Lucas, (2000). Stock Prices and Fundamentals. Ed. Ben S. Bernanke, B.S and J. J. Rotemberg, NBER Macroeconomics Annual 1999, v. 14., 213 – 264 Hördahl, P. and F. Packer, (2007). Understanding asset prices: an overview. Bank for International Settlements, WP 34, 1-38 Karpoff, J.M. (1987). The Relation Between Price Changes and Trading Volume: A Survey. The Journal of Financial and Quantitative Analysis, 22 (1), 109-126 Kendall, M.G and A.B. Hill, (1953). The Analysis of Economic Time-Series-Part I: Prices. Jour. Royal Statistical Soc., Series A, 116 (1), 11-34 Llorente, G., Michaely R., Saar, G. and J. Wang. (2001). Dynamic Volume-Return Relation of Individual Stocks. NBER, WP 8312, Cambridge, MA., 1-55 Longerstaey, J., and M. Spencer, (1996). RiskMetrics -Technical Document. J.P.Morgan & Reuters, N.Y., Fourth Edition, 1-296 Mackey, M.C. (1989). Commodity Price Fluctuations: Price Dependent Delays and Nonlinearities as Explanatory Factors. J. Economic Theory, 48, 497-509 Malkiel, B. and J.G. Cragg, (1980). Expectations and the valuations of shares, NBER WP 471, 1-70 Mandelbrot, B., Fisher, A. and L. Calvet, (1997). A Multifractal Model of Asset Returns, Yale University, Cowles Foundation Discussion WP1164, 1-39 Merton, R.C. (1973). An Intertemporal Capital Asset Pricing Model, Econometrica, 41, (5), 867-887 Mills, F.C. (1946). Price-Quantity Interactions in Business Cycles. NBER, Prins.Univ., NY Muth, J.F. (1961). Rational Expectations and the Theory of Price Movements, Econometrica, 29, (3) 315-335 Odean,T. (1998). Volume, Volatility, Price, And Profit When All Traders Are Above Average, The Journal of Finance, LIII, (6), 1887-1934 Poon, S-H. and C.W.J. Granger, (2003). Forecasting Volatility in Financial Markets: A Review, J. of Economic Literature, 41, 478–539 Sharpe, W.F. (1964). Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, 19 (3), 425-442 Shephard, N.G. (1991). From Characteristic Function to Distribution Function: A Simple Framework for the Theory. Econometric Theory, 7 (4), 519-529 Shiryaev, A.N. (1999). Essentials Of Stochastic Finance: Facts, Models, Theory. World Sc. Pub., Singapore. 1-852 Shreve, S. E. (2004). Stochastic calculus for finance, Springer finance series, NY, USA Stigler, G.J. and J.K. Kindahl, (1970). The Dispersion of Price Movements, NBER, 88 - 94 in Ed. Stigler, G.J, Kindahl, J.K. The Behavior of Industrial Prices Tauchen, G.E. and M. Pitts, (1983). The Price Variability-Volume Relationship On Speculative Markets, Econometrica, 51, (2), 485-505 Weyl, E.G. (2019). Price Theory, AEA J. of Economic Literature, 57(2), 329–384 Wolfers, J. and E. Zitzewitz, (2006). Interpreting Prediction Market Prices As Probabilities, NBER WP12200, 1-22 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/122973 |
Available Versions of this Item
-
The Market-Based Asset Price Probability. (deposited 20 May 2022 13:25)
- The Market-Based Asset Price Probability. (deposited 17 Dec 2024 07:55) [Currently Displayed]
- The Market-Based Asset Price Probability. (deposited 15 Aug 2022 02:23)