2017
DOI: 10.1080/13504851.2017.1316818
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Economic cycles and downside commodities risk

Abstract: We de-compose the S\u26P Goldman Sachs Commodity Index into its underlying commodity sub-categories and develop a modified conditional value at risk (CVaR) metric to examine downside risk linked to economic periods which are classified by their GDP growth as green, yellow, orange and red. We term this new metric economic CVaR (ECVaR). We found significant differences in the relative ECVaR rankings of different commodities over our different economic cycles

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Cited by 14 publications
(13 citation statements)
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“…For example, an extended period is desirable to consider a potential difference between various periods, in particular crisis and normal periods. Advanced techniques on risk measurements can also be considered and utilized such as credit risk measurements (Powell et al 2017(Powell et al , 2018. In addition, this study only focuses on the Ho Chi Minh City stock market which may not be the complete proxy for the Vietnamese listed firms.…”
Section: Discussionmentioning
confidence: 99%
“…For example, an extended period is desirable to consider a potential difference between various periods, in particular crisis and normal periods. Advanced techniques on risk measurements can also be considered and utilized such as credit risk measurements (Powell et al 2017(Powell et al , 2018. In addition, this study only focuses on the Ho Chi Minh City stock market which may not be the complete proxy for the Vietnamese listed firms.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies show that agricultural supplies respond to price and non-price factors. As farmers have an incentive to allocate their resources to the most profitable crops, agricultural supplies will respond to price fluctuation of agricultural products (Powell et al, 2018(Powell et al, , 2019. On the other hand, non-price factors, such as rural infrastructure, access to credit, weather conditions and soil fertility can affect inputs, the efficiency, and yields of agricultural production (Thiele, 2000).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…It is noted that the parametric CVaR is calculated by the average returns beyond the parametric VaR. This practice follows the approach adopted in various studies, such as Allen et al (2012) and Powell et al (2017), among others:…”
Section: Methodsmentioning
confidence: 99%
“…Various papers have attempted to estimate the market risk level by using the VaR and CVaR methods concurrently. Powell et al (2017) categorized the S&P Goldman Sachs Commodity Index into groups and used the modified CVaR method to assess the level of risk in particular periods, as classified according to GDP growth. The findings from this empirical study indicate that there are marked differences in the levels of risk for the various commodities for a variety of sub-samples.…”
Section: Empirical Analysismentioning
confidence: 99%