Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices

Abstract

This paper formally derives an efficient estimator of the bid-ask spread from open, high, low, and close prices. The estimator is asymptotically unbiased and optimally combines the full set of price data to minimize the estimation variance. In absence of quote data, it delivers the most accurate estimates of bid-ask spreads theoretically, numerically, and empirically. The estimator is easy to calculate and has a broad applicability in empirical finance. We discuss implications for applied research.

Publication
Available at SSRN
Emanuele Guidotti
Emanuele Guidotti
PhD Student in Finance

Interdisciplinary research at the intersection of finance, data science, and statistics.