TY - JOUR
T1 - Yes, one-day international cricket 'in-play' trading strategies can be profitable!
AU - Norton, Hugh
AU - Gray, Steve
AU - Faff, Robert
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - In this study, we employ a Monte Carlo simulation technique for estimating the conditional probability of victory at any stage in the first or second innings of a one-day international (ODI) cricket match. This model is then used to test market efficiency in the Betfair 'in-play' market for large sample of ODI matches. We find strong evidence of overreaction in the first innings. A trading strategy of betting on the batting team after the fall of a wicket produces a significant profit of 20%. We also find some evidence of underreaction in the second innings although it is less economically and statistically significant than the first innings overreaction. We also implement trades when the discrepancy between the probability of victory implied by current market odds differs substantially from the odds estimated by our Monte Carlo simulation model. We document a number of trading strategies that yield large statistically significant positive returns in both the first and second innings.
AB - In this study, we employ a Monte Carlo simulation technique for estimating the conditional probability of victory at any stage in the first or second innings of a one-day international (ODI) cricket match. This model is then used to test market efficiency in the Betfair 'in-play' market for large sample of ODI matches. We find strong evidence of overreaction in the first innings. A trading strategy of betting on the batting team after the fall of a wicket produces a significant profit of 20%. We also find some evidence of underreaction in the second innings although it is less economically and statistically significant than the first innings overreaction. We also implement trades when the discrepancy between the probability of victory implied by current market odds differs substantially from the odds estimated by our Monte Carlo simulation model. We document a number of trading strategies that yield large statistically significant positive returns in both the first and second innings.
UR - http://www.scopus.com/inward/record.url?scp=84940840190&partnerID=8YFLogxK
U2 - 10.1016/j.jbankfin.2015.08.031
DO - 10.1016/j.jbankfin.2015.08.031
M3 - Article
AN - SCOPUS:84940840190
SN - 0378-4266
VL - 61
SP - S164-S176
JO - Journal of Banking and Finance
JF - Journal of Banking and Finance
IS - Suppl 2
ER -