scholarly journals INVESTIGATION OF THE HERDING AND CONTRARIAN BEHAVIOUR OF INVESTORS

2021 ◽  
Author(s):  
Nijolė MAKNICKIENĖ ◽  
Jovita MASĖNAITĖ ◽  
Viktorija STASYTYTĖ ◽  
Raimonda MARTINKUTĖ-KAULIENĖ
Keyword(s):  
Deep Learning ◽  
Financial Markets ◽  
Negative Impact ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Technical Analysis ◽  
Financial Instruments ◽  
Decision Strategy ◽  
Financial Decisions ◽  
Investor Behaviour

Purpose – The paper analyses two different paradigms of investor behaviour that exist in the financial mar-ket – the herding and contrarian behaviour. The main objective of the paper is to determine which pattern of investor behaviour better reflects the real changes in the prices of financial instruments in the financial markets. Research methodology – Algorithms of technical analysis, deep learning and classification of sentiments were used for the research; data of positions held by investors were analysed. Data mining was performed using “Tweet Sentiment Visualization” tool. Findings – The performed analysis of investor behaviour has revealed that it is more useful to ground financial decisions on the opinion of the investors contradicting the majority. The analysis of the data on the positions held by investors helped to make sure that the herding behaviour could have a negative impact on investment results, as the opinion of the majority of investors is less in line with changes in the prices of financial instruments in the market. Research limitations – The study was conducted using a limited number of investment instruments. In the future, more investment instruments can be analysed and additional forecasting methods, as well as more records in social networks can be used. Practical implications – Identifying which paradigm of investor behaviour is more beneficial to rely on can offer ap-propriate practical guidance for investors in order to invest more effectively in financial markets. Investors could use investor sentiment data to make practical investment decisions. All the methods used complement each other and can be combined into one investment decision strategy. Originality/Value – The study compared the ratio of open positions not only with real price changes but also with data obtained from the known technical analysis, deep learning and sentiment classification algorithms, which has not been done in previous studies. The applied methods allowed to achieve reliable and original results.

scholarly journals Decision Making in Financial Markets: A Thematic Review and Discussion

2021 ◽  
Vol 3 (1-2) ◽  
pp. 48-65
Author(s):  
Azhar Imtiyaz Bisati ◽  
Prof. S.M. Imamul Haque ◽  
Umer Jon Ganai ◽  
Ishfaq Gulzar
Keyword(s):  
Decision Making ◽  
Financial Markets ◽  
Investment Decision ◽  
Relevant Literature ◽  
Research Paper ◽  
Situational Factors ◽  
Rational Approach ◽  
Investment Decision Making ◽  
Investor Behaviour ◽  
High Degree

Financial decision making is generally characterized by high degree of risk, uncertainty as well as complexity. Decision making in financial markets takes under consideration a stack of factors including personal, technical and situational factors and above all it necessitates an understanding of human instinct on the top of financial skills. In the broad arena of literature, research studies have proposed two primary themes of decision making-one is the rational approach and the another one is irrational or bounded rationality approach. Rational world presupposes being reasonable in every aspect and making unbiased decisions. Irrationality approach contents that investor behaviour is driven by emotions even if they are well informed. This research paper by using the relevant literature in the field of behavioural decision making and investor psychology, provides an overview of these two distinctive academic doctrines, which clears the way-out that how in actual world people undertake their decision making. Furthermore, this research paper reviews how behavioural biases can lead to errors in investment decision making.

A STUDY ON EFFECT OF BEHVIORAL BIASES ON INVESTOR’S PREFERENCE REGARDING 80C TAX SAVING INSTRUMENTS IN SURAT CITY

2021 ◽  
Vol 12 (1) ◽  
pp. 60-69
Author(s):  
Hiral D Mehta ◽  
◽  
Dr. Jitesh Parmar ◽  
Keyword(s):  
Financial Markets ◽  
Sample Size ◽  
Sampling Method ◽  
Investment Decision ◽  
Investment Decisions ◽  
Survey Method ◽  
Behavioural Finance ◽  
Financial Decisions ◽  
Behavioral Biases

Behavioural finance is a new theoretical field which seeks to apply the understandings of the psychologists to recognize the behaviour of both investors and financial markets. It concentrates upon how investor is aware and acts on information to take investment decisions and that their behaviours reason them to make changed Selection about their financial decisions. Investors do not act sensibly in taking verdicts relating to investment. They have positive weaknesses like cognitive and emotional which take a predominating function in taking investment decision of individuals. They have behavioral biases in the event of taking investment decision. In this present paper researchers examines “Effect of Behvioral Biases on Investor’s Preference Regarding 80C Tax Saving Instruments in Surat City.”. Researcher has studied behavioral biases of investors investing in 80C tax saving instruments by conducting the survey with sample size of 100 investors through a wellstructured questionnaire in Surat city. The sampling method used was convenient sampling through personal survey method by contacting investors of Surat city. The purpose of this study was to find out behavioral biases of investors while investing in tax saving 80C instruments in Surat City.

scholarly journals Financial Literacy as a Life-Saver: Moderating the Contribution of Behavioral Biases towards Investment Decisions

2019 ◽  
Vol IV (III) ◽  
pp. 106-114
Author(s):  
Faisal Mehmood ◽  
Taqadus Bashir ◽  
Altamash Khan
Keyword(s):  
Financial Markets ◽  
Financial Literacy ◽  
Investment Decisions ◽  
Primary Data ◽  
Financial Instruments ◽  
Financial Decisions ◽  
Decision Outcomes ◽  
Emotional Bias ◽  
Relationship Of ◽  
The Relationship

The assumption of investor rationality had been central to developing an understanding of financial markets and decision outcomes. But the formation and consequent burst of tech-stock bubble changed the paradigm and shifted towards the behavioral interruption aspect of investor psychology. The study aimed to investigate the relationship of two heuristics and one emotional bias with financial decisions and the moderating effect of financial literacy on the said relationship. Primary data is gathered through questionnaire from 208 clients of national savings. Moderation analysis was done and the effect of biases on the financial decisions was found significant enough. Furthermore, financial literacy moderates this relationship positively only for heuristics but no moderation found for selfcontrol. The policymakers can design their financial instruments and strategies by keeping in view the implication of biases on investor’s decision. Moreover, periodic financial literacy sessions can be arranged to create awareness among investors and advisors.

Opportunities for improving the insider laws: A comparative analysis of the practice in the USA and Russia

2020 ◽  
Vol 26 (4) ◽  
pp. 796-814
Author(s):  
E.K. Ovakimyan
Keyword(s):  
Financial Markets ◽  
Insider Trading ◽  
Negative Impact ◽  
Business Environment ◽  
Market Manipulation ◽  
Insider Information ◽  
Analysis And Synthesis ◽  
The Usa ◽  
Legislative Perfection ◽  
Definition Of

Subject. The article examines the laws regulating insider trading. Objectives. The study outlines recommendations for refining Law On Countering the Illegal Use of Insider Information and Market Manipulation and Amendments to Some Legislative Acts of the Russian Federation, № 224-ФЗ of July 27, 2010. Methods. The methodological framework includes a general dialectical method, analysis and synthesis, induction and deductions, and some specific methods, such as comparative and formal logic analysis to specify the definition of insider information, structural logic and functional analysis to improve the mechanism for countering insider trading and market manipulation. Results. We discovered key drawbacks to be addressed so as to improve the business environment in Russia. Although the Russia laws mainly mirror the U.S. laws, they present a more extended list of terms concerning the insider information. I believe the legislative perfection should be continued. Conclusions and Relevance. The study helps apply the findings to outline a new legislative regulation or amend the existing ones, add a new mention on the course of financial markets to students’ books, develop new methods for detecting and countering and improving the existing ones. If all parties to insider relationships use the findings, they will prevent insider trading crimes in financial markets and (or) reduce the negative impact of such crimes on the parties.

EVALUATION OF FINANCIAL SECURITY OF THE REPUBLIC OF CRIMEA

2020 ◽  
pp. 56-67
Author(s):  
Elena Evgenevna Mashyanova ◽  
Elena Aleksandrovna Smirnova
Keyword(s):  
Financial Markets ◽  
Negative Impact ◽  
Gradual Increase ◽  
Financial System ◽  
Financial Security ◽  
Key Factors ◽  
Factors Affecting ◽  
External Threats ◽  
The Republic ◽  
Global Financial System

In modern conditions of development, financial security is an integral part of the overall security of the region and is formed on the basis of the functioning of the financial system. The complication of relationships between key segments of international financial markets, as well as the limited ability to accurately predict future trends in the development of the global financial system, lead to a gradual increase in the risks that accompany the activities of economic entities, and an increase in the number and scale of internal and external threats that have a negative impact on the financial security of the state. This formulation of the issue requires generalization of approaches to determining the financial security of the region in order to further formalize this issue and determine the key factors affecting it. The article considers the types of financial security, as well as certain areas of ensuring the financial security of the region and their priority. In work the assessment of the level of socio-economic development of the region with a view to ensuring financial security on the basis of which offers the main activities and priority areas of implementation of the investment policy that will ensure financial security of the Republic of Crimea.

Real-Estate Derivatives

2017 ◽  
Author(s):  
Radu S. Tunaru
Keyword(s):  
Real Estate ◽  
Financial Markets ◽  
Investment Banks ◽  
Financial Instruments ◽  
Stress Tests ◽  
Real World Data ◽  
No Arbitrage ◽  
New Frontier ◽  
Property Price ◽  
Comparative Description

This book brings together the latest concepts and models in real-estate derivatives, the new frontier in financial markets. The importance of real-estate derivatives in managing property price risk that has destabilized economies frequently in the last hundred years has been brought into the limelight by Robert Shiller over the last three decades. In spite of his masterful campaign for the introduction of real-estate derivatives, these financial instruments are still in a state of infancy. This book aims to provide a state-of-the-art overview of real-estate derivatives at this moment in time, covering the description of these financial products, their applications, and the most important models proposed in the literature in this area. In order to facilitate a better understanding of the situations when these products can be successfully used, ancillary topics such as real-estate indices, mortgages, securitization, and equity release mortgages are also discussed. The book is designed to pay attention to the econometric aspects of realestate index prices, time series, and also to financial engineering no-arbitrage principles governing pricing of derivatives. The emphasis is on understanding the financial instruments through their mechanics and comparative description. The examples are based on real-world data from exchanges or frommajor investment banks or financial houses in London. The numerical analysis is easily replicable with Excel and Matlab. This is the most advanced published book in this area, combining practical relevance with intellectual rigour. Real-estate derivatives will become important for managing macro risks in order to pass stress tests imposed by regulators.

Heuristic biases in investment decision-making and perceived market efficiency

2018 ◽  
Vol 10 (1) ◽  
pp. 85-110 ◽  
Author(s):  
Syed Zulfiqar Ali Shah ◽  
Maqsood Ahmad ◽  
Faisal Mahmood
Keyword(s):  
Financial Markets ◽  
Market Efficiency ◽  
Negative Impact ◽  
Investment Decisions ◽  
Sampling Technique ◽  
Investment Strategy ◽  
Individual Investors ◽  
Content Type ◽  
Specific Investment ◽  
The Relationship

Purpose This paper aims to clarify the mechanism by which heuristics influences the investment decisions of individual investors, actively trading on the Pakistan Stock Exchange (PSX), and the perceived efficiency of the market. Most studies focus on well-developed financial markets and very little is known about investors’ behaviour in less developed financial markets or emerging markets. The present study contributes to filling this gap in the literature. Design/methodology/approach Investors’ heuristic biases have been measured using a questionnaire, containing numerous items, including indicators of speculators, investment decisions and perceived market efficiency variables. The sample consists of 143 investors trading on the PSX. A convenient, purposively sampling technique was used for data collection. To examine the relationship between heuristic biases, investment decisions and perceived market efficiency, hypotheses were tested by using correlation and regression analysis. Findings The paper provides empirical insights into the relationship of heuristic biases, investment decisions and perceived market efficiency. The results suggest that heuristic biases (overconfidence, representativeness, availability and anchoring) have a markedly negative impact on investment decisions made by individual investors actively trading on the PSX and on perceived market efficiency. Research limitations/implications The primary limitation of the empirical review is the tiny size of the sample. A larger sample would have given more trustworthy results and could have empowered a more extensive scope of investigation. Practical implications The paper encourages investors to avoid relying on heuristics or their feelings when making investments. It provides awareness and understanding of heuristic biases in investment management, which could be very useful for decision makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating expensive errors, which occur due to heuristic biases. They can improve their performance by recognizing their biases and errors of judgment, to which we are all prone, resulting in a more efficient market. So, it is necessary to focus on a specific investment strategy to control “mental mistakes” by investors, due to heuristic biases. Originality/value The current study is the first of its kind, focusing on the link between heuristics, individual investment decisions and perceived market efficiency within the specific context of Pakistan.

COVID -19 and Indian Financial Markets: A Review

2020 ◽  
Vol 16 (02) ◽  
pp. 1-8
Author(s):  
Kamaldeep Kaur Sarna
Keyword(s):  
Financial Markets ◽  
Financial Institutions ◽  
Financial Services ◽  
Stock Markets ◽  
Global Economy ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Management Strategies ◽  
The Impact

COVID-19 is aptly stated as a Black Swan event that has stifled the global economy. As coronavirus wreaked havoc, Gross Domestic Product (GDP) contracted globally, unemployment rate soared high, and economic recovery still seems a far-fetched dream. Most importantly, the pandemic has set up turbulence in the global financial markets and resulted in heightened risk elements (market risk, credit risk, bank runs etc.) across the globe. Such uncertainty and volatility has not been witnessed since the Global Financial Crisis of 2008. The spread of COVID-19 has largely eroded investors’ confidence as the stock markets neared lifetimes lows, bad loans spiked and investment values degraded. Due to this, many turned their backs on the risk-reward trade off and carted their money towards traditionally safer investments like gold. While the banking sector remains particularly vulnerable, central banks have provided extensive loan moratoriums and interest waivers. Overall, COVID-19 resulted in a short term negative impact on the financial markets in India, though it is making a way towards V-shaped recovery. In this context, the present paper attempts to identify and evaluate the impact of the pandemic on the financial markets in India. Relying on rich literature and live illustrations, the influence of COVID-19 is studied on the stock markets, banking and financial institutions, private equities, and debt funds. The paper covers several recommendations so as to bring stability in the financial markets. The suggestions include, but are not limited to, methods to regularly monitor results, establishing a robust mechanism for risk management, strategies to reduce Non-Performing Assets, continuous assessment of stress and crisis readiness of the financial institutions etc. The paper also emphasizes on enhancing the role of technology (Artificial Intelligence and Virtual/Augmented Reality) in the financial services sector to optimize the outcomes and set the path towards recovery.

scholarly journals The Architecture of Financial Networks and Models of Financial Instruments According to the “Just Transition Mechanism” at the European Level

2020 ◽  
Vol 13 (10) ◽  
pp. 235
Author(s):  
Otilia Manta ◽  
Kostas Gouliamos ◽  
Jie Kong ◽  
Zhou Li ◽  
Nguyen Minh Ha ◽  
...  
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
Research Priorities ◽  
Financial Instruments ◽  
Global Level ◽  
European Level ◽  
Support Tool ◽  
Eu Directive ◽  
Transition Mechanism ◽  
European Investment

At the global level and in particular the European level, challenges related to climate change and the transition to green transactions have created an imperative where identifying or developing innovative financial instruments, appropriate for these priorities, have become our research priorities and objectives. Starting from the analysis of the European Investment Plan for green transactions, as well as the EU Directive 2018/410 of the European Parliament and of the Council, in conjunction with ongoing efforts to identify innovative financing tools, research is presented based on hypotheses using concepts and models of green financing. The paper aims to analyze the main concepts and phenomena that could be considered generative factors for current financial market trends, as well as the inventory of facts and acts that provide a picture of the financial market. Based on these investigations, this paper suggest how we can best analyze the economic environment, processes, and resources in terms of their predictions regarding the sustainability of financial markets in the context of current challenges. Moreover, our paper aims to highlight in our empirical research the above-mentioned aspects, including the analysis of the emergence of new financial instruments at the global level with a direct impact on financial sustainability at the European level, including reflecting certain particularities of financial markets Romania. This research will be both a scientific contribution to the specialized literature and a possible support tool for the practical activities of entrepreneurs in their economic endeavor of developing sustainable businesses.

Investor sentiment antecedents

2019 ◽  
Vol 11 (1) ◽  
pp. 36-54 ◽  
Author(s):  
Ranjan Dasgupta ◽  
Rashmi Singh
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Emerging Market ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Equation Modeling ◽  
Content Type ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Specific Factors

PurposeThe determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors’ individual impact on the investor sentiment.Design/methodology/approachFirst, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country.FindingsThe results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market.Practical implicationsThe major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons.Originality/valueThe formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.

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