Psychology and behavioral finance

2019 ◽  
Vol 15 (1) ◽  
pp. 39-64 ◽  
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg

Purpose The purpose of this paper is to detect quantitatively the existence of anchoring bias among financial analysts on the Tunisian stock market. Both non-parametric and parametric methods are used. Design/methodology/approach Two studies have been conducted over the period 2010–2014. A first analysis is non-parametric, based on observations of the sign taking by the surprise of result announcement according to the evolution of earning per share (EPS). A second analysis uses simple and multiple linear regression methods to quantify the anchor bias. Findings Non-parametric results show that in the majority of cases, the earning per share variations are followed by unexpected earnings surprises of the same direction, which verify the hypothesis of an anchoring bias of financial analysts to the past benefits. Parametric results confirm these first findings by testing different psychological anchors’ variables. Financial analysts are found to remain anchored to the previous benefits and carry out insufficient adjustments following the announcement of the results by the companies. There is also a tendency for an over/under-reaction in changes in forecasts. Analysts’ behavior is asymmetrical depending on the sign of the forecast changes: an over-reaction for positive prediction changes and a negative reaction for negative prediction changes. Originality/value The evidence provided in this paper largely validates the assumptions derived from the behavioral theory particularly the lessons learned by Kaestner (2005) and Amir and Ganzach (1998). The authors conclude that financial analysts on the Tunisian stock market suffer from anchoring, optimism, over and under-reaction biases when announcing the earnings.

Author(s):  
H. Christine Hsu

Earnings surprise occurs when the firms reported earnings per share deviates from the street estimate. This study shows that earnings surprises are useful in identifying portfolios that yield excess returns in the U.S. tech sector. The tech portfolios with the most positive earnings surprises outperformed the tech portfolios with the most negative earnings surprises in terms of both mean and median returns in the U.S. stock market. The study demonstrates that arbitrage profits could be generated if investors bought (short sold) the tech stocks with the highest earnings surprises (the lowest) two or three months after the end of the quarter. The study demonstrates that this trading strategy is most effective when fewer rather than more financial analysts follow the firms.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shagufta Parveen ◽  
Zoya Wajid Satti ◽  
Qazi Abdul Subhan ◽  
Nishat Riaz ◽  
Samreen Fahim Baber ◽  
...  

PurposeThis study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).Design/methodology/approachThe authors have assessed investors' behaviors and sentiments and the stock market overreaction during COVID-19 using a questionnaire and collected data from 401 investors trading in the PSX.FindingsResults of structural equation modeling revealed that the COVID-19 pandemic affected investors' behaviors, investment decisions and trade volume. It created feelings of fear and uncertainty among market participants. Evidence suggests that behavioral heuristics and biases, including representative heuristic, anchoring heuristic, overconfidence bias and disposition effect, negatively influenced investors' decisions at the PSX.Research limitations/implicationsThis study will contribute to behavioral finance literature in the context of developing countries as it has revealed the impact of COVID-19 on the emerging stock market, and its results are generalizable to other emerging stock markets.Practical implicationsThe findings of this study will help academicians, researchers and policymakers of developing countries. Academicians can formulate new behavioral models that can depict the solutions of dealing with an uncertain situation like COVID-19. Policymakers like the Securities Exchange Commission and the PSX can formulate crisis management strategies based on behavioral finance concepts to cope with situations like COVID-19 in the future and help lessen investors' losses in the stock markets. The role of the Securities Exchange Commission is crucial as it regulates the financial markets. It can arrange workshops to educate investors to manage their decisions during crisis time and focus on the best use of irrational and rational decision-making at the same time using Lo (2004) adaptive market hypothesis.Originality/valueThe novelty of the paper is that the authors have introduced overconfidence and disposition effect as mediators that create a connection between representative and anchoring heuristics and investment decisions using primary data collected from investors (institutional and retail) to demonstrate the presence of psychological biases during COVID-19, and it has been done for the first time according to authors' knowledge. It is a contribution and addition to the behavioral finance literature in the context of developing countries' stock markets and their efficiency.


Author(s):  
Noura Metawa ◽  
M. Kabir Hassan ◽  
Saad Metawa ◽  
M. Faisal Safa

Purpose This paper aims to investigate the relationship between investors’ demographic characteristics (age, gender, education level and experience) and their investment decisions through behavioral factors (sentiment, overconfidence, overreaction and underreaction and herd behavior) as mediator variables in the Egyptian stock market. Design/methodology/approach This paper collects data from a structured questionnaire survey carried out among 384 local Egyptian, foreign, institutional and individual investors. This paper used a partial multiple regression method to analyze the effect of investors’ demographic characteristics on investment decisions through behavioral factors as the mediator variable. Findings Investor sentiment, overreaction and underreaction, overconfidence and herd behavior significantly affect investment decisions. Also, age, gender and the level of education have significant positive effects on investment decisions by investors. Experience does not play a significant role in investment decisions, but as investors gain experience, they tend to overlook the emotional factors. Practical implications The findings of this paper would help to understand common behavioral patterns of investors and indicate a path toward the growth of the Egyptian stock market. Originality/value There is a lack of research in behavioral finance covering Middle East and North African markets. This paper attempts to fulfill the gap by analyzing behavioral factors in the Egyptian market.


2014 ◽  
Vol 40 (8) ◽  
pp. 804-820 ◽  
Author(s):  
Shreesh Deshpande ◽  
Marko Svetina

Purpose – In a setting with local bias in investors’ portfolios, the purpose of this paper is to study the stockholder wealth impact of negative earnings surprises for local firms as reported in a local newspaper. Design/methodology/approach – In the sample of earnings announcements, the authors observe that the stock price impact is statistically significantly more (less) negative in the case where the absolute difference between announced earnings and the consensus analysts’ forecast is greater (smaller) than the absolute difference between the announced earnings and last-year-same-quarter earnings. Findings – The differential effect is only observed when the stock market uncertainty (VIX) is high. In the empirical analysis, the paper finds that investors’ reactions to negative earnings surprises appear to be influenced by the level of historical, publicly available last-year-same-quarter earnings. Originality/value – When stock market uncertainty is high, the result suggests that the stock market may not be semi-strong efficient and/or that there is a behavioral response to negative earnings surprises in a setting where investors have portfolios over-weighted with local firm stocks.


2017 ◽  
Vol 9 (1) ◽  
pp. 72-96 ◽  
Author(s):  
Yoke Yue Kan

Purpose The aim of this paper is to investigate the circumstances and events surrounding bull runs in Malaysia from 1990 to 2015. The research question posed here is: What were the historical circumstances and events surrounding bull runs in Malaysia? Design/methodology/approach Case study approach is used. This research resorts to multiple resources such as academic journals, macroeconomic statistics, official publications, stock broker reports, annual reports of listed companies as well as articles from regional newspaper and magazines. Findings The results show that the bull runs in recent years happened with lower volatility after the Asian Financial Crisis. It can be conjectured that the specific environment in which the bull runs occurred can be somewhat different from period to period. Based on stylised facts and historical evidence, this study identified five major themes that were behind the bull markets in Malaysia, which include capital flow, spill-over effect from global development, change in ratings, speculative activities and investors’ sentiment, as well as government policies announcement. The findings have practical implications for investors who seek to understand and predict stock market boom through lessons learned from historical perspective. Research limitations/implications The analysis in this paper may have limitation, as the facts gathered are from secondary sources, which sources are derived from the observations of others. Therefore, secondary sources inevitably reflect the assumptions and biases of the people who wrote them. As the availability of data is limited by factors that are not under the control of the researcher, results may likely be limited in their generalizability. This case study does not attempt to establish causality or relationship between macroeconomic variables and stock prices. Further studies would therefore be necessary to examine the evolving nature of the relationship that may exist. Practical implications The findings of this study have significant policy implications for Malaysia, and also for other emerging markets. First, a prudent macroeconomic measures and concerted stance on fiscal, monetary and exchange rate policy to improve fundamentals and smooth volatility in the business cycle is vital for a bullish stock market. Second, the stock market derived significant benefits from openness to foreign capital and its resilience can be enhanced by fostering deeper and more liquid capital markets with diverse institutional investors, including domestic and foreign participants. Third, the environment that affects a stock market could be related to the political, regulatory and global environments. Malaysia stock market is susceptible to extreme events, capital flow, speculative activities and government interventions. Having a good grasp of which themes are operative at any point in time is central to investment decision making. Continuous rebalancing of portfolios based on information arriving in the market is also vital. Originality/value Previous studies on Malaysian stock market movement focus on quantitative analysis based on macroeconomic variable. This research is original in terms of giving background information and additional context to explain phenomena missed by quantitative research methods. The construction of quantitative model is also constraint by the measurability of non-quantitative data and data with different frequencies (such as annual, quarterly and monthly data). Therefore, it is important to contemplate the importance of non-quantitative factors, such as political, legal, regulatory and governance considerations. This study seeks to fill in this void.


2018 ◽  
Vol 8 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Shoudong Chen ◽  
Yan-lin Sun ◽  
Yang Liu

Purpose In the process of discussing the relationship between volume and price in the stock market, the purpose of this paper is to consider how to take the flow of foreign capital into consideration, to determine whether the inclusion of volume information really contributes to the prediction of the volatility of the stock price. Design/methodology/approach By comparing the relative advantages and disadvantages of the two main non-parametric methods mainstream, and taking the characteristics of the time series of the volume into consideration, the stochastic volatility with Volume (SV-VOL) model based on the APF-LW simulation method is used in the end, to explore and implement a more efficient estimation algorithm. And the volume is incorporated into the model for submersible quantization, by which the problem of insufficient use of volume information in previous research has been solved, which means that the development of the SV model is realized. Findings Through the Sequential Monte Carlo (SMC) algorithm, the effective estimation of the SV-VOL model is realized by programming. It is found that the stock market volume information is helpful to the prediction of the volatility of the stock price. The exchange market volume information affects the stock returns and the price-volume relationship, which is achieved indirectly through the net capital into stock market. The current exchange devaluation and fluctuation are not conducive to the restoration and recovery of the stock market. Research limitations/implications It is still in the exploratory stage that whether the inclusion of volume information really contributes to the prediction of the volatility of the stock price, and how to incorporate the exchange market volume information. This paper tries to determine the information weight of the exchange market volume according to the direct and indirect channels from the perspective of causality. The relevant practices and conclusions need to be tested and perfected. Practical implications Previous studies have neglected the influence of the information contained in the exchange market volume on the volatility of stock prices. To a certain extent, this research makes a useful supplement to the existing research, especially in the aspects of research problems, research paradigms, research methods and research conclusion. Originality/value SV model with volume information can not only effectively solve the inefficiency of information use problem contained in volume in traditional practice, but also further improve the estimation accuracy of the model by introducing the exchange market volume information into the model through weighted processing, which is a useful supplement to the existing literature. The SMC algorithm realized by programming is helpful to the further advancement and development of non-parametric algorithms. And this paper has made a useful attempt to determine the weight of the exchange market volume information, and some useful conclusions are drawn.


2018 ◽  
Vol 12 (3) ◽  
pp. 307-317 ◽  
Author(s):  
Chiung-Hui Tseng ◽  
Tony Kuo

Purpose This study draws on behavioral finance and signaling theory to investigate market reactions to Chinese acquirers when they made premium payments in large cross-border acquisitions. Paying high premiums has been considered an inferior acquisition decision that engenders negative market reactions in previous studies examining Western acquirers. Moving beyond previous work, this paper aims to propose that the premiums paid by Chinese firms in large international acquisitions will yield positive market reactions. Design/methodology/approach This paper applies an event study method and tests hypotheses on a sample that comprises large international acquisitions made by Chinese acquirers between 2007 and 2012. Findings The acquisition premium paid by a Chinese acquirer in a large cross-border acquisition positively affects its stock market return to the acquisition announcement. That is, investors rely on the managers’ judgment about the synergistic and value-creating potential of the acquisitions, as inferred from the premiums paid. Moreover, it was found that the relationship between acquisition premiums and stock market returns is moderated by whether the transactions are tender offers, in that the positive relationship is weaker when acquisitions are tender offers. Originality/value Different from previous research focusing on Western companies and proposing a negative linkage between premiums paid and investor reactions to the acquisitions, this study sheds light on Chinese acquirers who paid premiums in large international acquisitions and, based on the logic of behavioral finance and signaling theory, posits a positive association in the context of Chinese acquirers.


2016 ◽  
Vol 33 (3) ◽  
pp. 377-402 ◽  
Author(s):  
Paulo Pereira da Silva

Purpose This paper aims to investigate the informational content of earnings surprises and accounting information in credit default swap (CDS) markets. Design/methodology/approach This paper analyzes a sample of 444 US firms and 6,907 earnings announcements. By means of parametric and non-parametric event study analysis, the paper assesses the informational value and the timeliness in the assimilation of earnings surprises by CDS rates. Findings This paper shows that earnings surprises contain material information and that CDS rates are affected by the disclosure of obligors’ financial statements. There is also supporting evidence that positive and negative surprises induce asymmetric reactions on CDS rates, especially after accounting for the credit risk of the obligor and the liquidity of the CDS contract. Finally, and perhaps the most interesting conclusion of the study, there is evidence that earnings disclosed during unstable periods lack informational value, in opposition to normal periods. Originality/value As compared with similar studies, this paper presents three novel contributions. The first concerns the use of non-parametric analysis in parallel with parametric tests to achieve robust conclusions. The second novel contribution resides in assessing whether the liquidity of the CDS contracts affects the information value of earnings surprises or the timeliness at which the information is assimilated into CDS rates. Finally, this paper also contributes to improve our understanding on the relationship between the business cycle and the informativeness of accounting information.


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