We studied how the capital allocation decisions and the loss version of nonprofessional investors change subject to behavioral factors. The optimal wealth allocation between risky and risk-free assets results within a value-at-risk (VaR) portfolio model, which involves assessing risk individually according to an extended prospect-theory framework. We showed how the past performance and the portfolio evaluation frequency affect investor behavior and prove myopic loss aversion holds across different evaluation frequencies. We also illustrated that 1 year is the optimal evaluation horizon at which, under practical constraints, maximization of risky holdings occurs. Finally, we presented evidence that indicates that researchers using standard VaR significance levels may be underestimating the loss aversion of individual investors.

This paper develops more accurate and robust baseline sales estimates (sales in the absence of price promotion) using a dynamic linear model (DLM) enhanced with a multiple structural change model (MSCM). We first discuss the value of utilizing aggregated (chain-level) vs. disaggregated (store-level) point-of-sale (POS) data to estimate baseline sales and to measure promotional effectiveness. We then present the practical advantage of the DLM-MSCM modeling approach using aggregated data, and we propose two tests to determine the superiority of a particular baseline estimate: the minimization of weekly sales volatility and the existence of no correlation with promotional activities in these estimates. Finally, we test this new baseline against the industry standard ones on the two measures of performance. Our tests find the DLM-MSCM baseline sales to be superior to the existing log-linear ...

Despite the financial sector liberalization and openness that started in the earlier 90's and significant macroeconomic development as well as increasing inflow of capital toward the region, there is not any evidence of the reduction of interest rates as well as banks' profits in Latin America. In this paper we develop a model to estimate the determinants of Latin American banks' profitability and, try to understand the reasons why banks are reluctant to decrease their interest rate spreads even when change in competitiveness in the financial system is improving. By using Data Envelopment Analysis to better exploit the information of several variables at the same time and, by employing a sample of 200 Banks located in Argentina, Bolivia, Brazil, Costa Rica, Ecuador, El Salvador, Mexico, Nicaragua, Paraguay, Peru, Uruguay and Venezuela; we find that banks' profits grew consistently above ...