Who to trust? Reactions to analyst recommendations of domestic versus foreign brokerage houses in a developing stock market

2021 ◽  
pp. 101950
Author(s):  
Murat Tiniç ◽  
Başak Tanyeri ◽  
Mehmet Bodur
2020 ◽  
Vol 32 (2) ◽  
pp. 153-165
Author(s):  
Devlina Chatterjee ◽  
Saurabh Kumar ◽  
Purba Chatterjee

2020 ◽  
Vol 47 (4) ◽  
pp. 729-745 ◽  
Author(s):  
Darko Vukovic ◽  
Vladislav Ugolnikov ◽  
Moinak Maiti

PurposeThis study aims to examine whether the publication of analyst recommendations has reaction in the Russian stock market. This study also aims to determine the other factors that influence the reaction.Design/methodology/approachEvent study analysis (ESA) and regression models are used in this study.FindingsThe study finds that Russian stock market significantly reacts to analyst recommendations publications. Then study deeply investigates about the influence of other factors on the Russian market when an analyst's recommendations are published such as changes in recommendation levels, companies' size and general economic situation. The analysis done in the context of three types of recommendations: “buy,” “hold” and “sell.” The study finds that the market reacts not only to separate forecasts and subsequent recommendations, but also to the changes in recommendations' levels as well. Interestingly, the study finds that the impact of crises is not found to be a significant factor in the context of the Russian market.Research limitations/implicationsAnalysts used to spend much more resources on conducting a fundamental analysis than ordinary investors do. Therefore, they usually possess valuable privileged information that is supposed to influence stock prices when published. However, the present study argues that the direction, extent and period of a reaction of an analyst's recommendations are highly complicated and depend on what factors are under consideration in a particular research. Very often, the authors who dedicate their papers to develop and study markets choose a couple of (or even one) factors and delve into them. Nevertheless, to the author's best knowledge, few frequently cited and well-conducted research focused on such an emerging market as the Russian one. Thus, it seems reasonable that there is a gap in the literature that needs to be filled while considering other important factors. The study findings have a significant investment policy content.Originality/valueIn several senses, the present study is unique. First, it investigates whether analyst recommendations sufficiently affect the Russian stock market; second, it determines whether the significant factors such as changes in recommendation levels, companies' size and general economic situation have influence on the reaction. Finally, the study discusses about whether there is an impact of crises in the present study findings.


2017 ◽  
Vol 14 (2) ◽  
pp. 226-241
Author(s):  
Mei-Chen Lin ◽  
Chen-Yang Lin ◽  
Ming-Ti Chiang

This study uses analyst recommendations and three ambiguity proxies, namely ambiguity in fundamentals, ambiguity in information and market ambiguity, to examine market reaction to recommendation changes in the Taiwanese stock market. The authors find that analysts’ recommendation changes have positive effects on subsequent buy-and-hold abnormal returns when market ambiguity is moderate. When ambiguity in fundamentals is low, recommendation changes have a positive influence on smaller firms. The effect of ambiguity in information on stock returns is associated with market ambiguity; market ambiguity is negatively associated with abnormal returns for firms with moderate ambiguity in fundamentals. Investors in a small firm rely more on analyst recommendations.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


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