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CARTMAP: a neural network method for automated feature selection in financial time series forecasting
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CARTMAP: a neural network method for automated feature selection in financial time series forecasting (2012)CARTMAP: a neural network method for auto…Children's Thinking (2005)Children's ThinkingThe Psychophysiology of Real-Time Financial Risk Processing (2002)The Psychophysiology of Real-…The cocktail party phenomenon revisited: The importance of working memory capacity (2001)The cocktail party phenomenon…Neural network credit scoring models (2000)Neural network credit scoring…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…The Sharpe Ratio (1994)The Sharpe RatioTHE 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 …A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetEFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)The Valuation of Risk Assets …CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)CAPITAL ASSET PRICES: A THEOR…The Utility of Wealth (1952)The Utility of WealthThe Theory of Investment Value, by John Burr Williams (1939)The Theory of Investment Valu…A neural network model for bankruptcy prediction (1990)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach (1993)Support vector machine with adaptive parameters in financial time series forecasting (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Forecasting: theory and practice (2022)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)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)The Behavior of Stock-Market Prices (1965)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Users of the world, unite! 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References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*24,470 cited
  • 1964CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*20,205 cited
  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 1965The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets7,887 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
  • 1994The Sharpe Ratio2,645 cited
  • 1952The Utility of Wealth1,860 cited
  • 1973A Random Walk Down Wall Street1,751 cited
  • 1996Designing a neural network for forecasting financial and economic time series

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1,092 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2001The cocktail party phenomenon revisited: The importance of working memory capacity874 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications773 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1939The Theory of Investment Value, by John Burr Williams623 cited
  • 2005Children's Thinking577 cited
  • 2002The Psychophysiology of Real-Time Financial Risk Processing487 cited
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