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EMPIRICAL ANALYSIS OF LONG MEMORY AND ASYMMETRY EFFECTS FOR THE EFFECTIVENESS OF FORECASTING VOLATILITY OF RETURNS ON THE COMMODITY MARKET BASED ON THE EXAMPLE OF GOLD AND SILVER

Bogdan Włodarczyk, Ireneusz Miciuła

Risk management is one of the most dynamically developed areas in economic sciences. One of the main driving forces for this development has been the practical challenge resulting from increasing financial risk. Risk management is a process in which key role is played by risk measurement (Jajuga, 2016). Comparison of various forecasting models and selection of the best ones for particular markets is of key importance in many fields of economics and finance. Theoretic aspects concerning commodity markets very often concentrate on relations between changes in commodity prices and on the news impact on rates of return. However, up until now studies concerning conditional volatility of returns on commodity markets and market risk have been less comprehensive than those concerning conditions affecting prices and rates of return. Nevertheless, studies concerning market volatility are becoming increasingly popular due to the growth of market volatility itself and the significance of commodities as investment assets (Kang, 2013; Thuraisamy, 2013; Vivian, 2012). The growing interest also results from the fact that commodity rates of return have some empirically verifiable features such as non-normal distribution, asymmetry, structural breaks and fat tails (Aloui, 2010; Cheng, 2011).
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TESTING THE EFFICACY OF INFORMATION TRANSMISSION: IS EQUITY STYLE INDEX BETTER THAN STOCK MARKET INDEX?

Wee-Yeap Lau, Chin Lee

Equity style index has been widely used in the field of investment management since the introduction of return-based style analysis by Nobel Laureate William Sharpe in 1992. The style index is used as one of the independent variables in decomposing the fund returns to their respective allocation in different asset classes.
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