4 results for “Mean Reversion”

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Research ArticleOpen accessPhrase in the titleA NOVEL MULTICLASS SUPPORT VECTOR MACHINE ALGORITHM USING MEAN REVERSION AND COEFFICIENT OF VARIANCEBhusana Premanode, Jumlong Vongprasert, Nop Sopipan, Christofer ToumazouInaccuracy of a kernel function used in Support Vector Machine (SVM) can be found when simulated with nonlinear and stationary datasets. To minimise the error, we propose a new multiclass SVM model using mean reversion and coefficient of variance algorithm to partition and classify imbalance in datasets. By introducing a series of test statistic, simulations of the proposed algorithm outperformed … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 31 Jul 2013 · 6,932 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsApplication of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic TradingAldo Taranto, Shahjahan KhanBi-directional Grid Constrained (BGC) Stochastic Processes (BGCSP) become more constrained the further they drift away from the origin or time axis are examined here. As they drift further away from the time axis, then the greater the likelihood of stopping, as if by two hidden reflective barriers. The theory of BGCSP is applied to a trading environment in which long … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 6 Mar 2021 · 8,524 accessesView PDF Cite

Research ArticleOpen accessIn the abstractForecasting the Spanish Stock Market Returns with Fractional and Non-Fractional ModelsGuglielmo Maria Caporale, Juncal Cunado, Luis A. Gil-AlanaProblem statement: The content of this note was to assess the forecasting accuracy of various models of the Spanish stock market returns. Approach: We use daily data on the IBEX 35 for the time period January 4th, 2001-March 28th, 2006 and employ both fractional and non-fractional models. Results: The results on the prediction errors for the out-of-sample forecasts indicate that … …American Journal of Economics and Business Administration, Vol. 3, Issue 4 · 8 Dec 2011 · 7,316 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDissecting Two Approaches to Energy PricesJulius N. Esunge, Andrew Snyder-BeattieProblem statement: This research tested the viability of Geometric Brownian Motion as a stochastic model of oil prices. Approach: Using autoregressions and unit root tests, we determined that oil prices tend not to exhibit the Markov Property and thus GBM may be a problematic model. Results: Instead, oil prices seem to be mean reverting over the long run, possibly following … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,100 accessesView PDF Cite