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Global and Asset Class Diversified ETF Portfolio Strategy - A Convex Mean/CVaR Optimization Approach using Dynamic Copulas with Flexible Probabilities
Mantesso F, Flavio; Ahmed, Joe; Flores, Mauro - 2023
One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...
Persistent link: https://www.econbiz.de/10014254526
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SV mixture : classification using EM algorithm
Hachicha, Ahmed; Hachicha, Fatma; Masmoudi, Afif - 2013
a mixture stochastic volatility model providing a tractable method for capturing certain market characteristics. To … estimate the parameter of a mixture stochastic volatility model, we first use the Expectation-Maximisation (EM) algorithm. The …
Persistent link: https://www.econbiz.de/10009755511
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Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH
Tansuchat, Roengchai - 2010
The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …
Persistent link: https://www.econbiz.de/10013149486
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Assessing multivariate predictors of financial market movements : a latent factor framework for ordinal data
Huber, Philippe; Scaillet, Olivier; Victoria-Feser, … - 2008
Much of the trading activity in Equity markets is directed to brokerage houses. In exchange they provide so-called quot;soft dollarsquot; which basically are amounts spent in quot;researchquot; for identifying profitable trading opportunities. Soft dollars represent about USD 1 out of every USD...
Persistent link: https://www.econbiz.de/10003966616
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Lasso-type and heuristic strategies in model selection and forecasting
Savin, Ivan; Winker, Peter - 2012
Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...
Persistent link: https://www.econbiz.de/10009630302
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On Models for Portfolio Selection with Short-Term Forecasting
Dokuchaev, Nikolai - 2013
We discuss the problems of strategy selection in the framework of mathematical finance, stochastic control, and risk management in finance and economics. A problem setting that takes in to account a possibility of short term forecasting for market parameters is suggested. In this setting,...
Persistent link: https://www.econbiz.de/10013090290
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A data-driven explainable case-based reasoning approach for financial risk detection
Li, Wei; Paraschiv, Florentina; Sermpinis, Georgios - 2021
The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) approach without a requirement of rich expertise in financial risk....
Persistent link: https://www.econbiz.de/10012584957
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Bootstap Lr Tests of Sign and Amplitude Asymmetry
Fuertes, Ana-Maria; Coakley, Jerry - 2000
Using threshold autoregressive specifications, this paper extends the Enders and Granger (1998) framework for parametric tests of level asymmetry. In particular it develops bootstrap likelihood ratio statistics to test the symmetry null against sign and amplitude asymmetries or a combination of...
Persistent link: https://www.econbiz.de/10014160955
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Feed-Forward Neural Networks Regressions with Genetic Algorithms : Applications in Econometrics and Finance
Giovanis, Eleftherios - 2010
In this paper we examine feed-forward neural networks using genetic algorithms in the training process instead of error backpropagation algorithm. Additionally real encoding is preferred to binary encoding as it is more appropriate to find the optimum weights. We use learning and momentum rates...
Persistent link: https://www.econbiz.de/10013138757
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The Dynamic Black-Litterman Approach to Asset Allocation
Harris, Richard D. F. - 2016
of volatility model has a considerable impact on the performance of the dynamic BL model …
Persistent link: https://www.econbiz.de/10012993356