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Mid-price prediction based on machine learning methods with technical and quantitative indicators
16 references·0 citing·35 second hop
Mid-price prediction based on machine learning methods with technical and quantitative indicators (2020)Mid-price prediction based on machine lea…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Modelling Financial Time Series (2007)Modelling Financial Time Seri…Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Foundations of Technical Anal…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model (1999)On Portfolio Optimization: Fo…Mean Reversion in Stock Prices (1996)Mean Reversion in Stock PricesMean reversion in stock prices (1988)Mean reversion in stock pricesMean Reversion in Stock Prices: Evidence and Implications (1987)Mean Reversion in Stock Price…Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Co-Integration and Error Corr…A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)A Conditionally Heteroskedast…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…THE VALUATION OF RISK ASSETS AND THE SELECTION OF RISKY INVESTMENTS IN STOCK PORTFOLIOS AND CAPITAL BUDGETS**This paper is another in a series of interrelated theoretical and statistical studies of corporate financial and investment policies being made under grants from the Rockefeller Foundation, and more recently the Ford Foundation, to the Harvard Business School. The generous support for this work is most gratefully acknowledged. The author is also much indebted to his colleagues Professors Bishop, Christenson, Kahr, Raiffa, and (especially) Schlaifer, for extensive discussion and commentary on an earlier draft of this paper; but responsibility for any errors or imperfections remains strictly his own.[Professor Sharpe's paper, “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk” (Journal of Finance, September 1964) appeared after this paper was in final form and on its way to the printers. My first section, which parallels the first half of his paper (with corresponding conclusions), sets the algebraic framework for sections II, III and VI, (which have no counterpart in his paper) and for section IV on the equilibrium prices of risk assets, concerning which our results differ significantly for reasons which will be explored elsewhere. Sharpe does not take up the capital budgeting problem developed in section V below.] (1975)THE VALUATION OF RISK ASSETS …The capital asset pricing model: Some empirical tests (1972)The capital asset pricing mod…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Equilibrium in a Capital Asset Market (1966)Equilibrium in a Capital Asse…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)CAPITAL ASSET PRICES: A THEOR…Portfolio Selection: Efficient Diversification of Investments (1959)An Intertemporal Capital Asset Pricing Model (1973)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Liquidity Preference as Behavior Towards Risk (1958)The Pricing of Options and Corporate Liabilities (1973)The Role of Securities in the Optimal Allocation of Risk-bearing (1973)Option pricing when underlying stock returns are discontinuous (1976)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model (1990)ARCH modeling in finance (1992)Modeling and Forecasting Realized Volatility (2003)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)Dividend Policy, Growth, and the Valuation of Shares (1961)The cost of capital, corporation finance and the theory of investment (2008)The General Theory of Employment, Interest and Money. (1936)Does the Stock Market Overreact? (1985)Noise Trader Risk in Financial Markets (1990)Efficient Capital Markets: II (1991)Investor Psychology and Security Market Under‐ and Overreactions (1998)The General Theory of Employment, Interest and Money. (1936)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)The Impact of Corporate Sustainability on Organizational Processes and Performance (2014)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Bounds testing approaches to the analysis of level relationships (2001)Principles of Forecasting (2001)25 years of time series forecasting (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Tie Series Analysis, Forecasting, and Control (1995)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
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References

  • 1987Co-Integration and Error Correction: Representation, Estimation, and Testing32,281 cited
  • 1964CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*20,205 cited
  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 1975THE VALUATION OF RISK ASSETS AND THE SELECTION OF RISKY INVESTMENTS IN STOCK PORTFOLIOS AND CAPITAL BUDGETS**This paper is another in a series of interrelated theoretical and statistical studies of corporate financial and investment policies being made under grants from the Rockefeller Foundation, and more recently the Ford Foundation, to the Harvard Business School. The generous support for this work is most gratefully acknowledged. The author is also much indebted to his colleagues Professors Bishop, Christenson, Kahr, Raiffa, and (especially) Schlaifer, for extensive discussion and commentary on an earlier draft of this paper; but responsibility for any errors or imperfections remains strictly his own.[Professor Sharpe's paper, “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk” (Journal of Finance, September 1964) appeared after this paper was in final form and on its way to the printers. My first section, which parallels the first half of his paper (with corresponding conclusions), sets the algebraic framework for sections II, III and VI, (which have no counterpart in his paper) and for section IV on the equilibrium prices of risk assets, concerning which our results differ significantly for reasons which will be explored elsewhere. Sharpe does not take up the capital budgeting problem developed in section V below.]6,804 cited
  • 1978Time Series Analysis: Forecasting and Control.5,395 cited
  • 1966Equilibrium in a Capital Asset Market5,065 cited
  • 1972The capital asset pricing model: Some empirical tests2,705 cited
  • 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return2,576 cited
  • 1988Mean reversion in stock prices

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1,896 cited
  • 1987Mean Reversion in Stock Prices: Evidence and Implications1,875 cited
  • 2007Modelling Financial Time Series1,491 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,174 cited
  • 2000Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation1,154 cited
  • 1996Mean Reversion in Stock Prices1,122 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications773 cited
  • 1999On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model569 cited
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