Psychological biases in the form of sentiment can affect various economic decisions including accounting choices. Broadly defined, the term sentiment refers to unjustified beliefs about the future cash flow prospects of the firm (Baker and Wurgler 2006). Asymmetric timely loss recognition (ATLR) is particularly prone to managerial sentiment because the decision to recognize economic gains and losses is based, in part, on managers’ beliefs about the likelihood of future economic events affecting the firms. In this study, I examine the effect of psychological biases about future performance on current accounting choices via the effect of market-level managerial sentiment on ATLR. I find that ATLR decreases with managerial sentiment and that periods of high managerial sentiment are associated with lower concurrent write-offs but higher subsequent write-offs. This study enhances the implications of sentiment on firms’ accounting choices by identifying a time-varying macroeconomic determinant of ATLR that is based on psychological biases about future performance.

The most important factor that affects the decision making process in finance is the risk which is usually measured by variance (total risk) or systematic risk (beta). Since investors' sentiment (whether she is an optimist or pessimist) plays a very important role in the choice of beta measure, any decision made for the same asset within the same time horizon will be different for different individuals. In other words, there will neither be homogeneity of beliefs nor the rational expectation prevalent in the market due to behavioral traits. This dissertation consists of three essays. In the first essay, Investor Sentiment and Intrinsic Stock Prices, a new technical trading strategy is developed using a firm specific individual sentiment measure. This behavioral based trading strategy forecasts a range within which a stock price moves in a particular period and can be used for stock trading. Results show that sample firms trade within a range and show signals as to when to buy or sell. The second essay, Managerial Sentiment and the Value of the Firm, examines the effect of managerial sentiment on the project selection process using net present value criterion and also effect of managerial sentiment on the value of firm. Findings show that high sentiment and low sentiment managers obtain different values for the same firm before and after the acceptance of a project. The last essay, Investor Sentiment and Optimal Portfolio Selection, analyzes how the investor sentiment affects the nature and composition of the optimal portfolio as well as the performance measures. Results suggest that the choice of the investor sentiment completely changes the portfolio composition, i.e., the high sentiment investor will have a completely different choice of assets in the portfolio in comparison with the low sentiment investor. The results indicate the practical application of behavioral model based technical indicators for stock trading. Additional insights developed include the valuation of firms with a behavioral component and the importance of distinguishing portfolio performance based on sentiment factors.