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Purpose: Investor sentiment in financial markets has a close relationship with the general mood prevailing in the environment such as economic, social and political life. Future economic expectations are important for both investors and policymakers. Investor sentiment and macroeconomic variables are likely to affect each other. Emerging countries are particularly sensitive to interest and foreign exchange risk. Turkey is an important emerging country. The effects of interest rate and exchange fluctuations are high in this country. The aim of this study is to reveal the relationship between investor sentiment and interest and foreign exchange rates in Turkey.

Methodology: This study investigates the relationship between economic confidence index, exchange rates and interest rates in Turkey during the period between January 2012 and November 2019 using monthly data sets. The economic confidence index is used to represent the investor sentiment in the study. Interest rate variables are the deposit interest rates and the commercial credit interest rates. The representative of the US dollar currency variables is included in the analysis. This chapter used the time series vector error correction model approach of stationarity test, cointegration test and Granger causality test.

Findings: According to the causality test, there is a two-way relationship between economic confidence index and exchange rate, and there is uni-directional causality from commercial credit interest rate to economic confidence index. The results show that foreign exchange and commercial credit interest rate variables are carefully monitored by market players and are effective and influential in the formation of future expectations.

Originality/value: The study shows the direction of the relationship between economic confidence foreign exchange and commercial credit interest rate. Policymakers can shape expectations by taking into account the direction of the relationship.

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.

Purpose: This work provides an empirical analysis of investor behaviour's simultaneous influence due to the surprise effect caused by COVID-19 cases and government responses to market risk. This analysis compares tourism assets risk with other sectors and different types of investors' assets and categories in Europe.

Design: The paper applies an ARIMA with a GARCH model to predict conditional volatility of models for market uncertainty. Nonlinear models, factor analysis and time series linear regression for stationary variables in first differences are applied to predict market uncertainty.

Findings: We demonstrate that market risk does not arise from COVID-19 cases but instead from the surprise effect, as the market accurately predicts future cases. Only the volatility of the sectors Travel, Airline, and Utility are influenced by both surprise effect and government response, but only the travel sector reveals an interaction effect with both government response effort and surprise effect.

Originality: The article mutually studies the simultaneous interactions among investor behaviour due to the surprised effect caused by COVID-19 and government responses to the pandemic and the influence on professional investors' volatility in two asset types and between different sectors.

Practical implications: With this model and results, investors and financial service providers may verify whether or not government intervention during pandemic periods is effective in reducing uncertainty and risk levels on sectors, types of investors and different sorts of assets.

Economic theory posits a universal sociocultural orientation toward pricing complicated only by systematic cognitive biases. While institutional and organizational theorists have challenged the purported homogeneity of market logics, they have not linked market heterogeneity to price outcomes. If market logics are internally complex with multiple orientations toward pricing, skilled actors should be able to influence prices through market logics. This study utilizes qualitative analysis of interview data with a stratified random sample (75 percent response rate) of key participants to examine how investment banks (underwriters) instantiate a hybrid market logic in the Initial Public Offering (IPO) market. Underwriters exploit their status position to promulgate IPO pricing methods contradicting neoclassical rationality, behavioral models of pricing, and the underwriters’ own calculative mode of behavior. They successfully create this hybrid logic for issuers while hiding the nature of their market power through deceptive use of vocabulary from the market logic itself. Hence, the internal complexity of market logics directly impacts financial prices, with skilled actors achieving superior outcomes. This study concludes with an assessment of the implications for price theory, developing propositions to guide future research on market logics and pricing.

Investors frequently make judgments and decisions in the presence of affect (i.e., mood or emotion). Investors' moods may influence the extent to which they incorporate available financial information in their investment judgments. I propose that investors interpret their moods as signals of the extent to which financial information should be processed to make investment judgments, but only when other, more direct signals regarding the need for in-depth processing are unavailable. Consistent with research in psychology, my experimental results suggest that investors experiencing positive mood exert less effort to process available financial information than investors experiencing negative mood. Consequently, positive mood results in lower-quality financial judgments in my setting. However, when investors receive cues suggesting that initially received information is subjective, the effect of mood on effort to process financial information is mitigated. Overall, my results suggest that factors associated with positive investor mood (e.g., positive market sentiment) reduce the depth of investor analysis and lower judgment quality absent signals regarding the subjectivity of financial information.

Economic theory posits a universal sociocultural orientation toward pricing complicated only by systematic cognitive biases. While institutional and organizational theorists have challenged the purported homogeneity of market logics, they have not linked market heterogeneity to price outcomes. If market logics are internally complex with multiple orientations toward pricing, skilled actors should be able to influence prices through market logics. This study utilizes qualitative analysis of interview data with a stratified random sample (75 percent response rate) of key participants to examine how investment banks (underwriters) instantiate a hybrid market logic in the Initial Public Offering (IPO) market. Underwriters exploit their status position to promulgate IPO pricing methods contradicting neoclassical rationality, behavioral models of pricing, and the underwriters’ own calculative mode of behavior. They successfully create this hybrid logic for issuers while hiding the nature of their market power through deceptive use of vocabulary from the market logic itself. Hence, the internal complexity of market logics directly impacts financial prices, with skilled actors achieving superior outcomes. This study concludes with an assessment of the implications for price theory, developing propositions to guide future research on market logics and pricing.

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 study searches for sentimental herding in Borsa Istanbul (BIST) during the last decade using a state-space model employing cross-section standard deviations of systematic risk (Beta). It has been found that herding toward the market in the BIST-100 is both statistically significant and persistent independently from market fundamentals such as the volatility of returns and the levels of market returns. Herding trends over the sample period indicate that the financial crisis in 2000–2001 appeared to bring about sentimental herding in BIST which was followed by a calm period during which investors turned to fundamentals. Thereafter, we observe a volatile adverse herding pattern till the end of 2011 due to the confusing environment caused by the internal and external events.