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Massimo Guidolin and Manuela Pedio
In this paper, we conduct a thorough investigation of the predictive ability of forward and backward stepwise regressions and hidden Markov models for the futures returns of several commodities. The predictive performance relative a standard AR(1) benchm...
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Dimitrios Kartsonakis Mademlis,Nikolaos Dritsakis
Pág. 49 - 60
In several financial applications, it is extremely useful to predict volatility with the highest precision. Neural Networks alongside GARCH-type models have been extensively employed in the last decades for estimating volatility of financial indices. The...
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Athanasios Tsagkanos, Konstantinos Gkillas, Christoforos Konstantatos and Christos Floros
The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 Ja...
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Leandro dos Santos Maciel,Rosangela Ballini
Pág. 66 - 84
Bitcoin has attracted the attention of investors lately due to its significant market capitalization and high volatility. This work considers the modeling and forecasting of daily high and low Bitcoin prices using a fractionally cointegrated vector autor...
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Tihana ?krinjaric
This research observes a time varying relationship between stock returns, volatilities and the online search volume in regard to selected CESEE (Central, Eastern and South-Eastern European) stock markets. The main hypothesis of the research assumes that ...
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Nahida Akter and Ashadun Nobi
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Carlos Heitor Campani, Assis Gustavo da Silva Duraes
Pág. 687 - 719
Este artigo avalia o impacto de variáveis exógenas nos modelos GARCH, quando aplicadoàs previsões de volatilidade para o mercado de câmbio brasileiro USD-BRL. Como variáveisexógenas, foram utilizadas a variância realizada, baseada em dados de alta frequê...
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Luis Fernando Pereira Azevedo,Pedro L. Valls Pereira
Pág. 571 - 630
VIX - Volatility Index - emerged as an alternative calculation of implied volatility in order to mitigate some problems encountered in models of the Black-Scholes. This kind of volatility is seen as the best predictor of future volatility, given that opt...
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Stavros Degiannakis
The paper provides probability estimates of the state of the GDP growth. A regime-switching model defines the probability of the Greek GDP being in boom or recession. Then probit models extract the predictive information of a set of explanatory (economic...
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David E. Allen, Michael McAleer and Marcel Scharth
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