scholarly journals Factors Influencing Retail Investors’ Trading Behaviour in the Thai Stock Market

2021 ◽  
Vol 15 (2) ◽  
pp. 26-37
Author(s):  
Wilaiporn Paisarn ◽  
Nongnit Chancharat ◽  
Surachai Chancharat
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Survey Data ◽  
Demographic Factors ◽  
Developed Markets ◽  
Factors Influencing ◽  
Behavioural Patterns ◽  
Retail Investors ◽  
Overconfidence Bias ◽  
Trading Behaviour

This paper investigates trading behaviour among Thai retail investors in 2016. Using detailed survey data from 491 investors, we examine the characteristics and behavioural patterns that lead to investor bias. Empirical results in the behavioural finance literature indicate that retail investors may not behave reasonably. Behavioural biases may influence investor decisions and affect financial markets. These studies, however, are limited to subsamples of the overall investor groups studied and mainly focus on developed markets. We find that biases are common among investors and that men are more overconfident than women. Moreover, we discover that investors with more experience in trading are less likely to hold their stocks for long periods of time. Further, investors aged 45 and younger hold more diversified portfolios. Another finding is that participants with an income of more than 50,000 Baht a month and/or who employ a number of brokers hold more diversified portfolios. This evidence is consistent with the findings that have been reported for Turkey, India, and Vietnam, indicating that demographic factors are useful for distinguishing between investors in terms of the level of overconfidence bias they exhibit. This result confirms that demographic factors play a role in differentiating and classifying retail investors and should motivate future researchers to consider these factors in their research.

scholarly journals Linkage between Stock Market Prices and Exchange Rate: A Causality Analysis for Pakistan

2004 ◽  
Vol 43 (4II) ◽  
pp. 639-649 ◽  
Author(s):  
Mohammad Farooq ◽  
Wong Wing Keung
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Financial Markets ◽  
Emerging Economies ◽  
Stock Markets ◽  
Developing Economies ◽  
Causality Analysis ◽  
Market Prices ◽  
Financial Architecture ◽  
Developed Markets

Globalisation and financial sector reforms in developing economies have ushered in a sea change in the financial architecture of the economies. In the contemporary scenario, the activities in the financial markets and their relationships with the real sector have assumed significant importance. Correspondingly, researches are also being conducted to understand the current working of the economic and the financial system in the new scenario. Interesting results are emerging particularly for the developing countries where the markets are experiencing new relationships which are not perceived earlier. The analysis on stock markets has come to the fore since this is the most sensitive segment of the economy. The stock markets of emerging economies have been of vital importance to the global investment community. Since emerging markets are more volatile than the well developed stock market, therefore the emerging markets tend to be unrelated to one another and with the developed markets. Numerous investors worldwide select to diversify their funds across the emerging markets.

Stock Market Prediction using Data Mining Techniques

2020 ◽  
pp. 310-313
Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Prediction Model ◽  
Efficient Market Hypothesis ◽  
Deterministic System ◽  
Vast Number ◽  
Factors Influencing ◽  
Number Of Factors ◽  
Using Data ◽  
Robust Prediction

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.

Impact of FII’s and FDI’s on Indian Stock Market

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Dr. Kamlesh Kumar Shukla
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Global Economy ◽  
Short Term ◽  
Earnings Growth ◽  
The Past ◽  
Bull Market ◽  
Indian Stock Market

FIIs are companies registered outside India. In the past four years there has been more than $41 trillion worth of FII funds invested in India. This has been one of the major reasons on the bull market witnessing unprecedented growth with the BSE Sensex rising 221% in absolute terms in this span. The present downfall of the market too is influenced as these FIIs are taking out some of their invested money. Though there is a lot of value in this market and fundamentally there is a lot of upside in it. For long-term value investors, there’s little because for worry but short term traders are adversely getting affected by the role of FIIs are playing at the present. Investors should not panic and should remain invested in sectors where underlying earnings growth has little to do with financial markets or global economy.

scholarly journals Factors influencing decision making for implementing e-health in light of the COVID-19 outbreak in Gulf Cooperation Council countries

2021 ◽  
Author(s):  
Fahad M Al-Anezi
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Healthcare Access ◽  
Demographic Factors ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Gulf Cooperation Council ◽  
Factors Influencing ◽  
Electronic Health ◽  
Novel Coronavirus

Abstract Background Electronic health (e-health) approaches such as telemedicine, mobile health, virtual healthcare and electronic health records are considered to be effective in increasing access to healthcare services, reducing operational costs and improving the quality of healthcare services during the coronavirus disease 2019 (COVID-19) outbreak, a pandemic resulting from the spread of a novel coronavirus discovered in December 2019. In this context, the aim of this study was to identify the most important factors influencing decision making on the implementation of e-health in Gulf Cooperation Council (GCC) member states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates), which are in the process of digitizing healthcare services. Methods This study reviewed the literature to identify the important factors influencing decision making on e-health. In addition, a questionnaire-based survey was conducted in order to identify the most important criteria to be considered in decision making on e-health. The survey link was forwarded to 978 healthcare practitioners and 42 experts (purposive sampling), from which a final sample of 892 (864 practitioners and 28 experts) was achieved, reflecting a response rate of 87.45%. Results Of the 44 factors identified under seven themes (strategic, quality, management, technology, function characteristics, economic, sociocultural and demographic factors), 22 factors were identified to be the most important criteria. Conclusions Findings from this study suggest that decision making in relation to e-health is a complex process that requires consideration of various factors. It was also found that attention should be paid to sociocultural and demographic factors, which may need to be considered in increasing healthcare access during the COVID-19 outbreak.

scholarly journals The Dynamics of Bank Spreads and Financial Structure

2014 ◽  
Vol 04 (04) ◽  
pp. 1450014 ◽  
Author(s):  
Reint Gropp ◽  
Christoffer Kok ◽  
Jung-Duk Lichtenberger
Keyword(s):  
Monetary Policy ◽  
Financial Markets ◽  
Interest Rates ◽  
Banking Sector ◽  
Interest Rate Derivatives ◽  
Developed Markets ◽  
Speed Up ◽  
Pass Through ◽  
Bank Spreads ◽  
Effectiveness Of Monetary Policy

This paper investigates the effect of within banking sector competition and competition from financial markets on the dynamics of the transmission from monetary policy rates to retail bank interest rates in the euro area. We use a new dataset that permits analysis for disaggregated bank products. Using a difference-in-difference approach, we test whether development of financial markets and financial innovation speed up the pass through. We find that more developed markets for equity and corporate bonds result in a faster pass-through for those retail bank products directly competing with these markets. More developed markets for securitized assets and for interest rate derivatives also speed up the transmission. Further, we find relatively strong effects of competition within the banking sector across two different measures of competition. Overall, the evidence supports the idea that developed financial markets and competitive banking systems increase the effectiveness of monetary policy.

Uncharted waters: Investors get access to foreign exchange-traded funds

2021 ◽  
pp. 54-70
Author(s):  
S. R. Moiseev
Keyword(s):  
Financial Markets ◽  
Foreign Exchange ◽  
Driving Forces ◽  
Market Competition ◽  
Secondary Market ◽  
Portfolio Diversification ◽  
Exchange Traded Funds ◽  
Investment Funds ◽  
Retail Investors ◽  
Securities Trading

In 2022, Russian investors will get access to the wide possibilities of the global financial market. The Bank of Russia opens the market for foreign exchange-traded funds (ETFs) — one of the main savings instruments for households. The economy of ETFs differs from other investment funds, whose shares do not have secondary market. The opening of the ETFs market is intended to solve a number of issues for retail investors: moving away from the preference to individual foreign shares towards portfolio diversification, cost reduction, ensuring sustainable profitability, abandoning the aggressive securities trading, and supporting market competition. Soon, ETFs will be one of the driving forces in financial markets. However, their rapid growth is fraught with little-studied effects.

Personality and victimization in the Americas

2017 ◽  
Vol 24 (1) ◽  
pp. 123-139 ◽  
Author(s):  
Matthew Cawvey ◽  
Matthew Hayes ◽  
Damarys Canache ◽  
Jeffery J Mondak
Keyword(s):  
Survey Data ◽  
Demographic Factors ◽  
Past Research ◽  
The Impact

Victimization is associated with traumatic harm, bringing inherent importance to efforts to understand why victimization occurs. Past research has shown that economic and demographic factors affect the probability that individuals will experience bribery, crime, and discrimination. We build on this foundation by arguing that a fuller account of victimization must include the impact of differences in personality. To test our hypotheses, we utilize survey data from 22 nations in the Americas. Results show that openness and extraversion increase the probability of victimization and agreeableness decreases it.

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