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In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making.

The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination.

The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros.

The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results.

This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options.

This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions.

This study is my own study and it is original and has not been published anywhere.

We investigate intraday data for KOSPI 200 index and KOSPI 200 index futures. Hourly theoretical futures prices are calculated based on cost of carry model. we compare hourly index futures prices with their theoretical prices. Consistent with a large body of previous researches in this area, we find the persistent deviation of futures prices from their theoretical prices. Futures prices are undervalued relative to their theoretical prices. The data indicate that the difference between futures price and its theoretical price exhibits U-shaped pattern over the trading hours. The differences are higher at open and at 15:00 and are lower over intraday trading hours, implying that previous studies using daily closing prices overstate this mispricing.

We also examine the effect of intraday spot return on the behavior of the difference between the hourly futures price and its theoretical price. The finding indicates that the intraday momentum generates U-shaped pattern of this mispricing. This contrasts with Kim and Park (2011)'s finding that the difference also increases as the prior 60 day spot return increases. Our finding invalidates their explanation the activities of arbitrageurs bring monotonic increasing pattern of the magnitude of this mispricing in their daily data.

We propose a new explanation the U shaped patttern of the difference between the futures price and its theoretical price generated by the intraday spot return's moment. We introduce risk-seeking trader in our new explanation. The trader's risk-seeking behavior is based on prospect theory (Kahneman and Tversky (1979)). We argue that the risk-seeking traders cause intraday momentum effect to generate the U-shaped pattern of this mispricing. We add speculator's variables to Kim and Park (2011)'s regression equation and estimate it. The results from the regression analysis lend support to our new explanation as well as theirs, implying that speculators and arbitrageurs are present and active in the spot and futures markets and generate different pattern of the mispricing.

The purpose of this stud is to analyze the financialization effect on oil prices.

This study applied the technique of multibreak point analysis with Bai and Perron test plus VAR methodology.

Findings revealed that there was no effect on oil prices.

To the best of the author’s knowledge, this is the first paper combining the multibreakpoint analysis with VAR for the period analyzed in the present work.

Annual general meetings have been variously described as dull rituals for accountability versus entertaining theatre at the expense of accountability. The research analyses director and shareholder participation and dialogic interactions at annual and extraordinary general meetings of Cecil Rhodes' British South Africa Company (BSAC). The BSAC was incorporated under a royal charter in 1889 in return for power to exploit a huge territory, Rhodesia/now Zimbabwe. The BSAC's administration ceased in 1924/25. Thus, the BSAC had a dual mandate as a private for-profit listed company and to occupy and develop the territories on behalf of the British government.

The article analyses 29 BSAC general meeting minutes, comprising 25 full sets of verbatim minutes between 1895 and 1925. The study adopts manual content analysis. First, the research adopts conversational analysis to analyse director and shareholder turn-taking and moves by approving and dissenting shareholders. Second, the study identifies and analyses incidents of shareholder sentiment from the shareholder turns/moves. Finally, the article assesses how shareholder sentiment changed throughout the period and whether the BSAC's share price reflected the shareholder sentiment.

The BSAC's general meetings were associated with the greater colonial project of building the British Empire. The authors find almost 1,500 incidents of shareholder sentiment. Directors and shareholders take roughly an equal number of turns (excluding shareholder sentiment). Ritual and ceremony dominate director and shareholder turns and moves, while accountability to shareholders was minimal. The BSAC share price spiked in the early years of the project, waning after that. Shareholder sentiment, both positive and negative, reflect the share price behaviour.

A unique database of verbatim general meeting minutes records shareholders' reactions to what they heard in the form of sounding off through cheering, “hear, hears,” laughter and applause (i.e. shareholder sentiment).

Bitcoin (BTC) is significantly correlated with global financial assets such as crude oil, gold and the US dollar. BTC and global financial assets have become more closely related, particularly since the outbreak of the COVID-19 pandemic. The purpose of this paper is to formulate BTC investment decisions with the aid of global financial assets.

This study suggests a more accurate prediction model for BTC trading by combining the dynamic conditional correlation generalized autoregressive conditional heteroscedasticity (DCC-GARCH) model with the artificial neural network (ANN). The DCC-GARCH model offers significant input information, including dynamic correlation and volatility, to the ANN. To analyze the data effectively, the study divides it into two periods: before and during the COVID-19 outbreak. Each period is then further divided into a training set and a prediction set.

The empirical results show that BTC and gold have the highest positive correlation compared with crude oil and the USD, while BTC and the USD have a dynamic and negative correlation. More importantly, the ANN-DCC-GARCH model had a cumulative return of 318% before the outbreak of the COVID-19 pandemic and can decrease loss by 50% during the COVID-19 pandemic. Moreover, the risk-averse can turn a loss into a profit of about 20% in 2022.

The empirical analysis provides technical support and decision-making reference for investors and financial institutions to make investment decisions on BTC.

The objective of this study is to examine the nature of cryptocurrencies, risks involved in using it due to its volatile nature, advantages, disadvantages and its functions as money.

This is an inductive approach to a descriptive analysis (Qualitative research). In order to come to an adequate conclusion, we reviewed several studies and articles previously published in this field related to our research questions, and then explored the nature of Cryptocurrencies, their advantages and disadvantages, risks associated with cryptocurrency usage and their user-friendliness in Saudi Arabia.

The findings of this study reveal that anonymity and concealment are important aspects of cryptocurrencies. This system does not follow a transparent process that can make it parallel to conventional fiat currency.

Although this study focuses on the issue of trust, it fails to recognize more technological factors hampering its transaction mechanism instead of enhancing it, owing to a lack of facts and knowledge.

Like conventional transaction system users must sign their crypto transactions that others must duly verify easily. Once a promise is made, one will not be able to back out of it until it is protected from revocation by the signer.

In comparison with reviewed literature, this study focuses more on the issue of volatility, which accounts for the fact that cryptocurrency has not been accepted as a permanent tool of monetary policy. Additionally, the study finds that the Saudi public is largely pessimistic toward such currencies.

The purpose of the article is to improve the understanding of the role of institutional factors in real estate development. The authors take into account zoning (existence and type), type of right of disposal and type of buyer and seller of property in a multivariate econometric estimation. Dependent variable of the analysis is the time between acquisition of empty land and the application for a building permit, a period when many important development decisions have to be made. This indicator is closely related to debated phenomena like land hording and speculation.

The authors estimate a Cox proportional hazard model with the time between acquisition and application for a building permit as dependent variable and institutional indicators and a number of control variables as explanatory variables. Study area is the GZM Metropolis in the South of Poland. This region shows enough variability in institutional arrangements to allow for this type of analysis.

The analysis shows that institutional factors significantly influence the real estate development process. In areas that have not issued a zoning plan, the period until the building permit application is significantly longer. When the state is involved in a transaction (as purchaser or seller), it also takes longer until the building permit application is submitted. Although the instrument is usually intended to speed up development, perpetual usufruct implies a longer period until building permit application. Because of the results the authors get for control variables and for robustness checks, the authors are confident of the results of the analysis.

To the authors’ knowledge, this is the first study that deals with the question how institutional factors influence the timing of real estate development. By using data for a region in Poland, the authors also add to knowledge about real estate development in CEE countries.

This study delves into the nuanced implications of short-sale constraints on stock prices within the context of stock market efficiency. While existing research has explored this relationship, inconsistencies persist in their findings. The purpose of this study is to conduct a comprehensive review of literature to elucidate the reasons behind these disparities.

A systematic review of existing theoretical and empirical studies was conducted following the PRISMA method. The analysis centered on discerning the factors contributing to the divergence in projected stock prices due to these constraints. Key areas explored included assumptions related to expectations homogeneity, revisions, information uncertainty, trading motivations and fluctuations in supply and demand of risky assets.

The review uncovered multifaceted reasons for the disparities in findings regarding the influence of short-sale constraints on stock prices. Variations in assumptions related to market expectations, coupled with fluctuations in perceived information uncertainty and trading motivations, were identified as pivotal factors contributing to differing projections. Empirical evidence disparities stemmed from the use of proxies for short-sale constraints, varied sample periods, market structure nuances, regulatory changes and the presence of option trading.

This study emphasizes the significance of not oversimplifying the impact of short-sale constraints on stock prices. It highlights the need to understand these effects within the broader context of market structure and methodological considerations. By delineating the intricate interplay of factors affecting stock prices under short-sale constraints, this review provides a nuanced perspective, contributing to a more comprehensive understanding in the field.

In a first of its kind, this paper tries to explore the long-run relationship between investors' sentiment and selected industries' returns over the period January 2010 to December 2021.

The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. The autoregressive distributed lag (ARDL) model and other sophisticated econometric techniques such as the unit root test, the cumulative sum (CUSUM) stability test, regression, etc. have been used to achieve the objectives of the study.

The authors find that there is a significant relationship between sentiment sub-indices and industries' returns over the period of study. Market and economic variables, market ratios, advance-decline ratio, high-low index, price-to-book value ratio and liquidity in the economy are some of the significant sub-indices explaining industries' returns.

The study has relevant implications for retail investors, policy-makers and other decision-makers in the Indian stock market. Results are helpful for the investor in improving their decision-making and identifying those sentiment sub-indices and the variables therein that are relevant in explaining the return of a particular industry.

The study contributes to the existing literature by exploring the relationship between sentiment and industries' returns in the Indian stock market and by identifying relevant sentiment sub-indices. Also, the study supports the investors' irrationality, which arises due to a plethora of behavioral biases as enshrined in classical finance.

This paper aims to determine whether Islamic banks (IBs) and conventional banks (CBs) in Tunisia are distinguishable from one another based on financial characteristics during the 2005–2014 period covering the 2008 global financial crisis (GFC) and the 2011 Tunisian revolution.

For the comparison between IBs and CBs, 11 hypotheses are formulated to distinguish between the two types of banks. The authors use a univariate analysis based on the multi-dimension figures investigation and a multivariate one based on the robust OLS technique for panel linear regression with mixed effects.

Bank-specific factors, dummy and dummy interacting variables indicate that there are differences between Islamic and conventional bank behavior. Both methods show that IBs are more liquid, more profitable and riskier than CBs. Post-2011 Tunisian revolution, small IBs (small CBs) are more (less) solvent, large IBs are more stable and both types of banks are more liquid, which explain why Tunisian governments have relay on bank system to cover budget deficits post-2011 revolution.

In investigating the feature of IBs and CBs from the Tunisian context, the authors take into account the effect of two abnormal events (2008 GFC and 2011 Tunisian revolution) on IBs through interaction variables.