Santamaría Aquilué, Rafael
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Santamaría Aquilué
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Rafael
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Gestión de Empresas
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Publication Open Access The role of small bettors in price formation in betting exchanges(Routledge, 2020) Abinzano Guillén, María Isabel; Muga Caperos, Luis Fernando; Santamaría Aquilué, Rafael; Institute for Advanced Research in Business and Economics - INARBEThe presence of small bettors in betting exchanges generates mispricing, which can lead to exploitation by informed traders or result in permanent price deviations. This paper shows that mispricing from this source is also dependent upon variables of established relevance such as tournament round, the level of attention to the event, the volume of the betting, and bet type, further confirming these findings by means of cumulative accuracy profile (CAP) curves. It also offers evidence of the relevant role played by the type of device used to place the bet, whereby higher mispricing is observed in live bets placed via a mobile device, which appears to be associated with impulsive betting. This last finding could have practical implications for the regulation of the use of mobile devices to access gambling platforms.Publication Open Access Game, set and match: the favorite long-shot bias in tennis betting exchanges(Taylor & Francis, 2016) Abinzano Guillén, María Isabel; Muga Caperos, Luis Fernando; Santamaría Aquilué, Rafael; Gestión de Empresas; Enpresen KudeaketaWe test for the existence of Favorite-Longshot Bias (FLB) in tennis betting exchanges. Despite these being order-driven markets, with no direct participation from bookmakers, we have found very similar results to those obtained by Lahvička (2014) for bookmakers’ betting markets: the bias is stronger in matches between lower ranked players, in later round matches and in high profile tournaments. This suggests that bookmakers’ adjustments to respond to informed betting are not the main driver of FLB. The varying magnitude of the bias across different types of event in the main market also weakens arguments linking FLB to gamblers’ risk preferences, and suggests the need to consider the microstructure features of the market together with the cognitive biases highlighted in the behavioral finance literature.