2015
DOI: 10.1016/j.enpol.2015.06.034
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A new approach to measure speculation in the oil futures market and some policy implications

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Cited by 25 publications
(18 citation statements)
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“…As mentioned earlier, one of the contributions of this study is to relate, via the MS-TVP specification, the time-variation in herding to speculative activities in the gold market. For this purpose, we obtain daily data on gold futures from Commodity Systems Inc. and calculate the speculative ratio defined as the trading volume divided by open interest, following Chan et al (2015). Figure 1 plots the daily speculative ratio normalized to one at the beginning of the sample period for illustrative purposes.…”
Section: Datamentioning
confidence: 99%
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“…As mentioned earlier, one of the contributions of this study is to relate, via the MS-TVP specification, the time-variation in herding to speculative activities in the gold market. For this purpose, we obtain daily data on gold futures from Commodity Systems Inc. and calculate the speculative ratio defined as the trading volume divided by open interest, following Chan et al (2015). Figure 1 plots the daily speculative ratio normalized to one at the beginning of the sample period for illustrative purposes.…”
Section: Datamentioning
confidence: 99%
“…Interestingly, this period is also associated with a notable outbreak in the estimated asymmetry measures (Panel D of Figure 2), consistent with the prevalence of herd behavior particularly during periods of large market losses, rather than bull market periods. Chan et al (2015) argue that the speculative ratio reflects the balance of hedging and speculative tendencies in the underlying commodity, implied by the level of trading volume relative to the open interest. It is therefore possible that increased speculative activity in the gold market, implied by higher speculative ratios particularly for the duration and aftermath of the global financial crisis period as shown in Figure 1, reflects increased uncertainty regarding global market conditions which also significantly contributes to herd behavior in the emerging South African REITs market that has been significantly affected by global market turbulence.…”
Section: Time-variation In Herding and Gold Market Speculationmentioning
confidence: 99%
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“…Although CFTC data are the only viable possibility to approximate speculative activity in these markets using publicly available data, it is important to note that this matching might be imprecise: hedgers may have taken speculative positions, and vice versa. Therefore, we implement a measure of speculative activity, proposed by Chan, Nguyen, and Chan (2015), which is the ratio of daily volume to daily open interest. We term this measure as SpecTrades, which is defined as…”
Section: Regression Analysis With Speculative Tradingmentioning
confidence: 99%
“…The details of the sub-periods are provided in Table 1. We measure oil speculation using the speculative ratio of Chan et al (2015), which is defined as the trading volume divided by open interest on a given day. We calculate this ratio using daily data on trading volume and open interest for Brent oil futures contracts traded on the Chicago Mercantile Exchange, with the data obtained from Commodity Systems Inc.…”
Section: Datamentioning
confidence: 99%