1985
DOI: 10.1002/fut.3990050105
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The degree of price resolution: The case of the gold market

Abstract: his article uses data from the London gold market to investigate the nature, T frequency, and causes of rounding in transactions prices. The degree of price resolution-whether prices are quoted to the nearest 5, 10, 25, 50, or 100 centsis not constant, but rather is a function of the amount of information in the market, and the level and variability of the price. This article, therefore, provides further insight into the determination of prices in competitive markets.The fact that transactions actually occur a… Show more

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Cited by 214 publications
(165 citation statements)
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“…The latter finding suggests that more activity (and competition) among market makers leads to more aggressive (and less clustered) quoting practices. The intraday negative relation between clustering and volatility is consistent with that found by Harris (1991) and Ball, Torus, and Tschoegl (1985) in other markets.…”
Section: Intraday Patternssupporting
confidence: 89%
“…The latter finding suggests that more activity (and competition) among market makers leads to more aggressive (and less clustered) quoting practices. The intraday negative relation between clustering and volatility is consistent with that found by Harris (1991) and Ball, Torus, and Tschoegl (1985) in other markets.…”
Section: Intraday Patternssupporting
confidence: 89%
“…The critical value for the 0.01 percent significance level is 8.0. 14 Clustering of actual prices has also been observed in other markets, including the London gold market (Ball et al 1985) and the market for corn and soybean futures (Stevenson and Bear 1970). However, these results are not directly applicable to the analysis of this paper, since they concern prices rather than orders, and those markets function quite differently from the foreign exchange markets.…”
Section: Notesmentioning
confidence: 86%
“…The price resolution hypothesis contends that prices may be evenly clustered at particular points if valuation is indecisive [22]. Loomes [23] and Butler and Loomes [24] argued that economic decision makers do not measure utilities exactly but act in a sphere of haziness, which represents the degree of difficulty in precise valuation.…”
Section: Price Clustering Theoriesmentioning
confidence: 99%