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Lattice-oriented percolation system applied to volatility behavior of stock market
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Lattice-oriented percolation system applied to volatility behavior of stock market (2011)Lattice-oriented percolation system appli…Introduction to Stochastic Calculus Applied to Finance (2011)Introduction to Stochastic Ca…Forecasting model of global stock index by stochastic time effective neural network (2009)Forecasting model of global s…Long‐term memory in stock market returns: international evidence (2001)Long‐term memory in stock mar…Introduction to Mathematical Finance (2000)Introduction to Mathematical …The Econometric Modelling of Financial Time Series (1999)The Econometric Modelling of …Crossover in the Cont–Bouchaud percolation model for market fluctuations (1998)Crossover in the Cont–Bouchau…Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation (2020)Forecasting wavelet neural hy…Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures (2020)Deep multi-hybrid forecasting…AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Persistence characteristics of the Chinese stock markets (2006)Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets (2009)Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices (2019)Modern Portfolio Theory and Investment Analysis. (1982)Stock Returns and the Term Structure (1985)Economic Significance of Predictable Variations in Stock Index Returns (1989)Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations (2016)Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer (2018)Application of deep reinforcement learning in stock trading strategies and stock forecasting (2019)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A Test for Superior Predictive Ability (2005)Forecasting with artificial neural networks: (1998)Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Oil price shocks and stock market returns: Evidence for some European countries (2013)Scaling and correlation in financial time series (2000)Market Fluctuations I: Scaling, Multiscaling, and Their Possible Origins (2002)The Econometrics of Financial Markets (2012)Volatility clustering and long memory of financial time series and financial price model (2012)The Generalized Hyperbolic Model: Estimation, Financial Derivatives, and Risk Measures (1999)Primal-Dual Simulation Algorithm for Pricing Multidimensional American Options (2004)Fluctuations of Lévy Processes with Applications (2014)Catastrophe Risk Bonds (2000)Optimal investment in incomplete markets when wealth may become negative (2001)Risk Control Over Bankruptcy in Dynamic Portfolio Selection: A Generalized Mean-Variance Formulation (2004)Herding, a-synchronous updating and heterogeneity in memory in a CBS (2004)Re-examining the asymmetric predictability of conditional variances: The role of sudden changes in variance (2005)Vector Autoregressive Models for Multivariate Time Series (2007)
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References

  • 2011Introduction to Stochastic Calculus Applied to Finance639 cited
  • 2000Introduction to Mathematical Finance343 cited
  • 2001Long‐term memory in stock market returns: international evidence197 cited
  • 1999The Econometric Modelling of Financial Time Series192 cited
  • 2009Forecasting model of global stock index by stochastic time effective neural network151 cited
  • 1998Crossover in the Cont–Bouchaud percolation model for market fluctuations146 cited

Cited by

  • 2020Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation39 cited
  • 2020Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures35 cited

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