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This study is concerned with markets operating in Turkey in the Istanbul Stock Exchange (BIST), which have been observed and studied in relation to herd behavior. During the research part of the study, the existence of herd behavior was investigated with the help of the daily closing price data of the firms in BIST between January 2011 and December 2017. In the research section of the study, the authors used regression analysis. In the analysis, the authors used the index value of the BIST whole Index. The average value of the index value of BIST whole Index was taken. Then, according to this average, 1% percentile and 5% percentile were taken. In the periods in the 1% percentile (at the dates) the result was that herd behavior was present. The herd behavior was observed for the periods (for dates) included in the percentile of 1%. On the other hand, the results of the analysis for the 5% percentile show that the herd behavior is only seen in the upper extremes.

Introduction: This chapter is intended to link the embracing strategy of ‘socially responsible investment’ with the apparent cause of economic destruction ‘financial crimes’. Today’s financial world is not always associated with ethics and morality, but it does not mean rising investments cause rising financial crimes. Socially responsible investing (SRI) has been rising, and many of today’s investors are interested in tracking ethically sound companies. Investors find a great way to invest around many investment opportunities, while socially responsible investors work with little social cause. This increasing literacy over SRI notably helps to reduce investments in unethical grounds which in turn reduces financial crimes.

Design/methodology: This work is premised on desk research. Conceptual and documentary methods were used in the study. The tertiary data source has been used in the study to develop a template describing the working of SRI in fixing financial crimes.

Findings: Findings of this study detail: a breakdown of industries that comes under SRI, channels of financial crimes, impact of SRI on financial crimes, and design an action plan for more effective environmental, social, and governance (ESG)-based investments to fix problems of financial crimes in the Indian economy.

Practical implications: The model of SRI has unfolded these days. While the purpose of these funds differs, they generally swear off the weapons industry and avoid ‘sin stocks’. In-depth analysis of this study area enables building quality investment strategy among investors and thereby helps to combat financial crimes.

In recent years, there has been considerable interest in corporate governance literature as a result of massive corporate scandals. In today’s world, almost all companies are exposed to the danger of fraud. Much work on the business risk of corporate fraud has been carried out; however, researchers still have tough discussions on the most effective methods to adopt to tackle fraud. In accordance with previous studies, it is possible to say that companies which obey the corporate governance codes to the letter can minimize the risk of fraud. The importance of this chapter lies in that it helps to explain the evidence that although the deterrent measures company can undertake may well, to a certain extent, work out the problem of fraud, they are way far from eliminating corporate crimes in establishing “corporate governance.” The latter is the key term that defines the public responsibility of corporates binding themselves to the rule of law. Corporate governance has been discussed as one of the effective ways of calling the attention of large firms to social problems and urging them to take necessary actions. The reason that companies cannot eliminate fraud is strictly linked to the evidences of critical organization studies that question the epistemic assumptions of mainstream strand of the same field. Some studies show that the subject is not rational decision-making, neither does it follow the interest, nor is it a pure homo economicus so that rationality is effective in deterring corporate frauds to a certain extent.

This study aims to analyze the herding behavior in Southeast Asian stock markets. A cross-sectional absolute deviation of the returns approach is used to identify the presence of herding. Individual stocks and market returns were employed on each stock market on a daily basis during the period of January 2008 to December 2014 from five countries selected to obtain the necessary data. The samples observed consisted of stocks having higher liquidity and larger market capitalization for each stock market. The results suggest that there is significant evidence of herding behavior found in Kuala Lumpur and Philippines Stock Exchanges. In addition, there is no evidence of herding behavior in Indonesia, Singapore, and Thailand Stock Exchanges.

This research examines stock traders' disposition effects and contrarian/momentum behavior in the Taiwan Stock Exchange (TWSE). Specifically, we first investigate disposition effects across all trader types and then examine the relationships between disposition effects, trader types, and order characteristics. Next, we explore contrarian and/or momentum behavior and analyze the relationships among the contrarian/momentum behavior, investor type, and order characteristics. Finally, the links among trader types, order characteristics, and investment performance are detected. This chapter yields the following findings. (1) Individual investors exhibit the strongest disposition effects compared to other investors. (2) Foreign investors, investment trusts, and individual investors tend to use large orders to sell loser stocks. (3) Investment trusts are inclined to be momentum traders, while individual investors tend to perform contrarian strategies. (4) Institutional aggressive and large orders perform better than individuals' orders. (5) The performance of foreign investors' selling decisions is better than that of retail investors.

This study aims to obtain empirical evidence and analyzes factors that are affecting earnings response coefficient (ERC). Manufacturing companies are used in this research, which are listed on the Indonesian Stock Exchange from 2016 to 2018. This study used panel data consisting of 114 firm years data. This research is using multiple regression method to examine the effect of independent variable to the dependent variable ERC. The result of this study shows that income smoothing (IS) and systematic risk (SR) have an effect on ERC; while IS, SR, and Firm Growth have an effect on Earnings Announcement; meanwhile, earnings persistence, audit quality, firm size, and leverage have no effect on Earnings Announcement. Implication of the research indicates that investors assess earnings quality of the company for their investment decision. These findings contribute to market reaction on earnings announcement and market-based accounting researches.

Positive-framed and negative-framed messages were delivered to examine the effect of framing on intertemporal decisions through lab experiments while holding the level of financial literacy constant. The three big questions adopted by Lusardi and Mitchell were utilized to assess the financial literacy of our subjects before they were asked to complete 20 incentivized intertemporal decisions. A small, delayed reward and a slightly bigger one were incorporated into the intertemporal decisions with a delay of 30 days. The ordinary least square (OLS) shows that the negative relationship between financial literacy and discount rates was held when the delayed reward was small. Interestingly, when the delayed reward became slightly bigger, their discount rates were reduced significantly with the negatively framed message. These findings suggest that the negatively framed message can motivate individuals to save for a greater return in the real world. Lastly, subjects with the highest level of financial literacy were not responsive to the magnitude effect, proving that a financial literacy program is essential to strengthen the individual's financial plan and reduce their discount rates in the developing country context.

Introduction: As internet and communication technologies are getting developed, the commercial transaction is becoming more electronic. This change also brings new approaches to new payment mechanisms like emergence of crypto currencies. They are virtual and digital currencies which can only be used in electronic environment but they are increasingly treated as a new payment and investment tool. Nevertheless, their use has not spread into the general public, yet. At this point, it will better to take the complex nature of the crypto currencies into consideration because it may still lead to some risks for people and the type of the risks perceived by consumers may influence their attitudes toward and intention to use crypto currencies.

Aim: Accordingly, this study attempts to examine the interaction between perceived risk, attitudes toward and intention to use crypto currencies within the context of Bitcoin, as the first crypto currency.

Method: This study was designed as a causal research. The sample of the study was reached by using convenience sampling method and data were collected with survey. The compiled data were tested with Structural Equation Model.

Findings: A statistically significant and negative relationship was found between perceived financial, time and psychological risk and attitudes toward the use of Bitcoin, and a statistically significant and positive relationship was found between attitudes toward and intention to use Bitcoin. The findings of the study are expected to contribute to both relevant literature and practice by explaining the financial behavior of the individuals within the context of perceived risk theory.

This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.