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Improving the Parkinson Method of Estimating Security Price Volatilities
3 references·16 citing·45 second hop
Improving the Parkinson Method of Estimating Security Price Volatilities (1992)Improving the Parkinson Method of Estimat…The Extreme Value Method for Estimating the Variance of the Rate of Return (1980)The Extreme Value Method for …On the Estimation of Security Price Volatilities from Historical Data (1980)On the Estimation of Security…The Pricing of Options and Corporate Liabilities (1973)The Pricing of Options and Co…On the Predictability of Stock Prices: a Case for High and Low Prices (2012)On the Predictability of Stoc…The economic value of volatility timing using a range-based volatility model (2010)The economic value of volatil…Range Volatility Models and Their Applications in Finance (2010)Range Volatility Models and T…Financial volatility forecasting with range-based autoregressive volatility model (2010)Financial volatility forecast…Forecasting time-varying covariance with a range-based dynamic conditional correlation model (2009)Forecasting time-varying cova…Estimating correlation from high, low, opening and closing prices (2008)Estimating correlation from h…A high–low model of daily stock price ranges (2008)A high–low model of daily sto…Forecasting performance of extreme‐value volatility estimators (2007)Forecasting performance of ex…An empirical model of daily highs and lows (2007)An empirical model of daily h…A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations (2005)A No-Arbitrage Approach to Ra…A comparative study of alternative extreme-value volatility estimators (2005)A comparative study of altern…Daily volatility behavior in Chinese futures markets (2004)Daily volatility behavior in …Towards the fundamentals of technical analysis: analysing the information content of High, Low and Close prices (2002)Towards the fundamentals of t…Market reaction to public information: The atypical case of the Boston Celtics (2001)Market reaction to public inf…Forecasting index volatility: sampling interval and non-trading effects (1998)Forecasting index volatility:…The Market for Equity Options in the 1870s (1997)The Market for Equity Options…MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)Generalized impulse response analysis in linear multivariate models (1998)Multi-Dimensional Transitional Dynamics: A Simple Numerical Procedure (2004)Different Approaches to Forecast Interval Time Series: A Comparison in Finance (2010)Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model (2016)Statistical analysis of cointegration vectors (1988)ARCH modeling in finance (1992)Modeling and forecasting interval time series with threshold models (2014)Stock Prediction by Searching for Similarities in Candlestick Charts (2014)Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method (2022)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Theory of rational option pricing (2005)A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market (1984)Using daily stock returns (1985)Scoring on the stock exchange? 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this work references cited by second hop

References

  • 1973The Pricing of Options and Corporate Liabilities29,064 cited
  • 1980The Extreme Value Method for Estimating the Variance of the Rate of Return1,946 cited
  • 1980On the Estimation of Security Price Volatilities from Historical Data1,538 cited

Cited by

  • 2001Market reaction to public information: The atypical case of the Boston Celtics95 cited
  • 2007An empirical model of daily highs and lows91 cited
  • 2010Financial volatility forecasting with range-based autoregressive volatility model72 cited
  • 2002Towards the fundamentals of technical analysis: analysing the information content of High, Low and Close prices71 cited
  • 2010Range Volatility Models and Their Applications in Finance70 cited
  • 2010The economic value of volatility timing using a range-based volatility model68 cited
  • 1997The Market for Equity Options in the 1870s55 cited
  • 2012On the Predictability of Stock Prices: a Case for High and Low Prices51 cited
  • 2005A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations50 cited
  • 2009Forecasting time-varying covariance with a range-based dynamic conditional correlation model48 cited
  • 2007Forecasting performance of extreme‐value volatility estimators48 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2008A high–low model of daily stock price ranges48 cited
  • 2005A comparative study of alternative extreme-value volatility estimators47 cited
  • 2004Daily volatility behavior in Chinese futures markets46 cited
  • 2008Estimating correlation from high, low, opening and closing prices41 cited
  • 1998Forecasting index volatility: sampling interval and non-trading effects39 cited