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In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

This research investigates (1) the impacts of working capital investment policy and working capital financing policy on firms’ performances (profitability and market value) and (2) the impact of profitability on market value. Data are gathered from 68 companies listed in the Stock Exchange of Thailand covering production sector. Data collected from 2012 to 2016 are analyzed using path analysis to measure the impacts of working capital policy on performances and examine the consistency of the model and the empirical data.

The model is found to be consistent with the empirical data; the probability level is 0.085, χ ²/df is 2.96, CFI is 0.951, GFI is 0.979, IFI is 0.957, and RMR is 0.004. The result reveals a statistically significant positive relationship between working capital investment policy and profitability. In addition, working capital investment policy affects market value through profitability as a mediator variable. However, there are significant negative impacts of working capital financing policy on profitability and market value. Overall, it can be implied that companies which adopt conservative working capital investment policy and conservative working capital financing policy can increase their profitability and market value.

In a Bayesian approach, we compare the forecasting performance of five classes of models: ARCH, GARCH, SV, SV-STAR, and MSSV using daily Tehran Stock Exchange (TSE) market data. To estimate the parameters of the models, Markov chain Monte Carlo (MCMC) methods is applied. The results show that the models in the fourth and the fifth class perform better than the models in the other classes.

This chapter focuses on information efficiency as provided by fair value accounting (FVA) and corporate governance (CG) practices in an emerging market. Positive accounting theory was adopted as an empirical model to test the relationship between information efficiency and stock prices. Data for the period 2007–2020 from 576 listed firms on the Stock Exchange of Thailand were collected, tested, and analyzed using a fixed effect estimator. The results indicate that investors in the stock market trust the use of publicized efficient information as provided by FVA and CG practices in making their investment decisions, when FVA and CG proxies were found to significantly influence stock prices. Hence, this evidence implies that information efficiency leads to better firm values in an emerging market.