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J. Risk Financial Manag., Volume 6, Issue 1 (December 2013) – 4 articles , Pages 1-61

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1917 KiB  
Article
Testing for a Single-Factor Stochastic Volatility in Bivariate Series
by Masaru Chiba and Masahito Kobayashi
J. Risk Financial Manag. 2013, 6(1), 31-61; https://doi.org/10.3390/jrfm6010031 - 19 Dec 2013
Cited by 2 | Viewed by 5039
Abstract
This paper proposes the Lagrange multiplier test for the null hypothesis thatthe bivariate time series has only a single common stochastic volatility factor and noidiosyncratic volatility factor. The test statistic is derived by representing the model in alinear state-space form under the assumption [...] Read more.
This paper proposes the Lagrange multiplier test for the null hypothesis thatthe bivariate time series has only a single common stochastic volatility factor and noidiosyncratic volatility factor. The test statistic is derived by representing the model in alinear state-space form under the assumption that the log of squared measurement error isnormally distributed. The empirical size and power of the test are examined in Monte Carloexperiments. We apply the test to the Asian stock market indices. Full article
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4159 KiB  
Article
A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500
by David E. Allen, Michael McAleer, Robert Powell and Abhay K. Singh
J. Risk Financial Manag. 2013, 6(1), 6-30; https://doi.org/10.3390/jrfm6010006 - 21 Oct 2013
Cited by 6 | Viewed by 6523
Abstract
This paper features an analysis of the relationship between the S&P 500 Index and the VIX using daily data obtained from the CBOE website and SIRCA (The Securities Industry Research Centre of the Asia Pacific). We explore the relationship between the S&P 500 [...] Read more.
This paper features an analysis of the relationship between the S&P 500 Index and the VIX using daily data obtained from the CBOE website and SIRCA (The Securities Industry Research Centre of the Asia Pacific). We explore the relationship between the S&P 500 daily return series and a similar series for the VIX in terms of a long sample drawn from the CBOE from 1990 to mid 2011 and a set of returns from SIRCA’s TRTH datasets from March 2005 to-date. This shorter sample, which captures the behavior of the new VIX, introduced in 2003, is divided into four sub-samples which permit the exploration of the impact of the Global Financial Crisis. We apply a series of non-parametric based tests utilizing entropy based metrics. These suggest that the PDFs and CDFs of these two return distributions change shape in various subsample periods. The entropy and MI statistics suggest that the degree of uncertainty attached to these distributions changes through time and using the S&P 500 return as the dependent variable, that the amount of information obtained from the VIX changes with time and reaches a relative maximum in the most recent period from 2011 to 2012. The entropy based non-parametric tests of the equivalence of the two distributions and their symmetry all strongly reject their respective nulls. The results suggest that parametric techniques do not adequately capture the complexities displayed in the behavior of these series. This has practical implications for hedging utilizing derivatives written on the VIX. Full article
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17 KiB  
Editorial
Publisher’s Note: Journal of Risk and Financial Management
by Shu-Kun Lin
J. Risk Financial Manag. 2013, 6(1), 4-5; https://doi.org/10.3390/jrfm6010004 - 3 Oct 2013
Viewed by 5075
Abstract
The Journal of Risk and Financial Management (JRFM) is published in full open access by MDPI as of 1 October 2013, when MDPI took over the ownership of the journal. So far, this journal has been published elsewhere in yearly volumes (one issue [...] Read more.
The Journal of Risk and Financial Management (JRFM) is published in full open access by MDPI as of 1 October 2013, when MDPI took over the ownership of the journal. So far, this journal has been published elsewhere in yearly volumes (one issue per yearly volume) since 2008, with a total of 25 papers released up to this moment [1]. Starting from 1 January 2014, the journal will be published in quarterly issues. [...] Full article
112 KiB  
Editorial
The Journal of Risk and Financial Management in Open Access
by Michael McAleer
J. Risk Financial Manag. 2013, 6(1), 1-3; https://doi.org/10.3390/jrfm6010001 - 1 Oct 2013
Cited by 1 | Viewed by 9188
Abstract
Financial economics and econometrics have advanced rapidly in recent years, in terms of coverage of topics, the creation of new data sources, the availability of existing high frequency and ultra-high frequency tick data, the growing importance of international financial analysis, the technicality of [...] Read more.
Financial economics and econometrics have advanced rapidly in recent years, in terms of coverage of topics, the creation of new data sources, the availability of existing high frequency and ultra-high frequency tick data, the growing importance of international financial analysis, the technicality of research topics, and the number of papers and journals publishing such theoretical and practical research. [...] Full article
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