Tests of The FAMA French Model in Indian Stock Market

2016 ◽  
Vol 11 (02) ◽  
Author(s):  
Anubha Srivastava
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Test Validity ◽  
Stock Market Index ◽  
Expected Return ◽  
Market Index ◽  
Daily Data ◽  
Significant Difference ◽  
Actual Return ◽  
French Model

This paper has considered a sample of 30 stocks which are listed in Bombay Stock Exchange (BSE) SENSEX Index. The SandP BSE SENSEX (SandP Bombay Stock Exchange Sensitive Index), also-called the BSE 30 , is a free-float market capitalization-weighted stock market index of 30 well-established and financially sound companies listed on BSE Ltd. Daily data allow us to more authentic data to measure stock’s performance over shorter time horizons. In this paper an attempt has been made to test validity FAMA French inIndian stock market to check how far the forecasting of expected return will match the actual return. This paper concludes that though FAMAFrench model is an extension of CAPM and can be used for forecasting of expected return but there is significant difference between the expected return as per FAMA French Model and actual return.

scholarly journals The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 50
Author(s):  
Raed Walid Al-Smadi ◽  
Muthana Mohammad Omoush
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This paper investigates the long-run and short-run relationship between stock market index and the macroeconomic variables in Jordan. Annual time series data for the 1978–2017 periods and the ARDL bounding test are used. The results identify long-run equilibrium relationship between stock market index and the macroeconomic variables in Jordan. Jordanian policy makers have to pay more attention to the current regulation in the Amman Stock Exchange(ASE) and manage it well, thus ultimately helping financial development.

scholarly journals Will the Stock Market Index Upsurge or Deflate? Making Calculated Predictions Using the Univariate Autoregressive Integrated Moving Average Technique

2018 ◽  
Vol III (IV) ◽  
pp. 413-426
Author(s):  
Mustafa Afeef ◽  
Nazim Ali ◽  
Adnan Khan
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Moving Average ◽  
Stock Market Index ◽  
Short Term ◽  
Average Technique ◽  
Autoregressive Integrated Moving Average ◽  
Past Behavior ◽  
Market Index ◽  
Arima Modeling

Movements in a stock market index may safely be considered one of the mostwatched out phenomena by investors in almost every economy. One method to forecast the index is to study all those external factors that directly affect it. Another way, however, is to base ones predictions on the past behavior of the variable of interest. This paper has employed the method described latter and has, therefore, made use of the ARIMA modeling. In this connection, the daily stock market index data of the Karachi Stock Exchange 100 index was taken for twenty years from 1997 to 2017 which translated into 4940 observations. The study revealed that the model was decently efficient in forecasting the KSE 100 Index, though only for the short-range. The upshot of this study may be utilized specifically by short term investors in deciding on when, and when not, to invest in the stock market.

scholarly journals GLOBALISASI PASAR MODAL DUNIA DAN PENGARUHNYA TERHADAP PASAR MODAL INDONESIA

2017 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
R Adisetiawan
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Exchange ◽  
Global Market ◽  
Stock Market Index ◽  
Causality Test ◽  
Global Capital ◽  
Market Index ◽  
Cointegration Tests

This study aims to prove causality, cointegration and the influence of global capital markets with a market capital of Indonesia for the period 2001-2016 with a Granger causality test statistics, cointegration tests and Multiple Regression testing. These results prove that the 99% confidence interval occurred a long term relationship (cointegration) and the significant influence of global market indices with the Indonesia capital market index (CSPI) in Indonesia Stock Exchange (IDX) for the period 2001 to 2016, it indicates that Indonesia's economy has been integrated with global capital markets with varying levels of integration, but is causally there is only one country that has a causal relationship with the Indonesian stock market index (CSPI), the Taiwan stock market index (TWSE).Keywords: Capital Market Integration

scholarly journals Quantitative relationship between corruption and development of the Tunisian stock market

2018 ◽  
Vol 7 (2) ◽  
pp. 39-47
Author(s):  
Ibtissem Missaoui ◽  
Mohsen Brahmi ◽  
Jaleleddine BenRajeb
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Quantitative Relationship ◽  
Stock Market Index ◽  
Private Companies ◽  
Stock Market Development ◽  
Market Index ◽  
The Government ◽  
The Impact ◽  
Positive Effect

The aim of this article is to seek especially the impact of corruption on the bond and stock market development. For the methodology/approach, the authors analyze a sample of 20 listed Tunisian firms from the Stock Exchange and Financial market, covering the period from 2006 to 2016 by using pooling cross section techniques. The results find a significant positive effect of the level of corruption on the stock market index and the logarithm of capitalization. This is consistent with the view that corruption accelerates the economic growth by speeding up transactions and allowing private companies to overcome the inefficiencies imposed by the government. Furthermore, the results find a negative association is not significant with the dependent variable of traded value as a percentage of the number of listed companies.

scholarly journals Modeling stock market volatility in Croatia

2021 ◽  
Vol 34 (2) ◽  
pp. 431-442
Author(s):  
Hrvoje Jošić ◽  
Berislav Žmuk
Keyword(s):  
Stock Market ◽  
Degrees Of Freedom ◽  
Stock Exchange ◽  
Error Distribution ◽  
Stock Market Volatility ◽  
Stock Market Index ◽  
The Past ◽  
Market Index ◽  
Generalized Error Distribution ◽  
Error Distributions

Purpose: In this paper, the volatility of the Croatian stock market index CROBEX is investigated using the GARCH(1,1) model. Methodology: The novelty provided by this paper is the estimation of the GARCH(1,1) model by using three conditional error distributions (normal (Gaussian) distribution, Student’s-distribution with fixed degrees of freedom and generalized error distribution (GED) with fixed parameters). Results: The findings obtained in the research are in the line with previous research in this field (Erjavec & Cota, 2007; Sajter & Ćorić, 2009). The volatility of CROBEX returns is positively correlated with the volume of trade on the Zagreb Stock Exchange and movements on the main European and American stock markets. The movement of S&P 500 stock market index returns is transmitted from the previous day, providing signals for the direction of change of CROBEX index returns in the present. Conclusion: Therefore, this paper provides evidence that investors in Croatia strongly rely on the past information received from the American S&P500 stock market index. Furthermore, there seems to exist the co-movement between CROBEX and main European indexes on the same trading day.

scholarly journals Daily Stock Movements Through the Lens of Event and News: Evidence from the Pakistan Stock Exchange

2021 ◽  
Author(s):  
Shahid Raza ◽  
Baiqing Sun ◽  
Pwint Kay Khine
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
News Daily ◽  
Stock Market Index ◽  
Daily Newspaper ◽  
Monthly Basis ◽  
Market Index ◽  
The Impact

This study will investigate different signals and events/news that determined the stock market's movements. As we know, many factors affect the stock market on a daily, weekly, and monthly basis, e.g., rate of interest, exchange rate, and oil prices, etc. Our research will investigate the impact of daily events/news in the KSE-100 index due to several policies announced and events/news in the country because the daily movements in the stock market can be determined only by different signals and events/news. Time series data is collected daily for particular reasons from "The News" (Daily Newspaper, Sunday edition) from 2010 to 2019. The results of this study show that political and global news affects the stock market index ferociously. For investors, the investment in blue chips is not less than a safe haven. When day-to-day transactions are concerned, there is always a higher panic attack than the herd behaviour in the stock exchange. Investors tend to make prompt responses to negative rather than positive news, which makes them risk averters. Our finding also confirmed that the ARCH/GARCH model is better than the simple OLS method concerning stock market upheaval.

scholarly journals Effects of changes in stock market index composition on stock returns: event study methodology on Zagreb Stock Exchange

2019 ◽  
Vol 5 (1) ◽  
pp. 43-54
Author(s):  
Tihana Škrinjarić
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Event Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Stock Market Index ◽  
Market Index ◽  
Study Methodology ◽  
Composition Changes ◽  
Event Study Methodology

AbstractThis paper observes the short-run effects of stock market index composition changes on stock returns on the Zagreb Stock Exchange (ZSE). In that way, event study methodology is employed in order to estimate abnormal returns and compare them amongst three subsets of stocks: those leaving the market index, those entering it, and constantly included stocks. The research included 14 regular and extraordinary revisions of the market index in the period from January 2nd, 2015 until March 21st, 2018. The results have confirmed two research hypotheses: stock exclusions from the market index have a negative effect on stock returns on the ZSE, which is consistent with the price pressure hypothesis; and there exist asymmetric effects of index composition changes on stock returns. This is the first study of this kind on the Croatian stock market, thus more questions need to be answered in future research.

scholarly journals TESTE EMPÍRICO DA EFICIÊNCIA DO MERCADO BRASILEIRO NA OCORRÊNCIA DE EVENTOS FAVORÁVEIS E DESFAVORÁVEIS

2008 ◽  
Vol 12 (4) ◽  
pp. 44
Author(s):  
Glauber de Castro Barbosa ◽  
Otávio Ribeiro de Medeiros
Keyword(s):  
New York ◽  
Stock Market ◽  
Market Efficiency ◽  
Event Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Uncertain Information ◽  
Stock Market Index ◽  
Market Index ◽  
Information Hypothesis

The study has the purpose of analyzing the behavior of the Brazilian stock market in order to verify the existence of market efficiency immediately after the occurrence of favorable and unfavorable events (shocks). To achieve this purpose, an event study is performed in which the return on the Brazilian stock market index (Ibovespa) is regressed against the return on the Dow Jones stock market index, which represents the New York Stock Exchange, adopted as a proxy for the world stock market index. Regression residuals appearing as outliers above +2.5% or below –2.5% were adopted to determine positive and negative events, respectively. Cumulative Abnormal Returns were computed and tested for a period of 10 days after the events. The empirical results led to the conclusion that market efficiency is not observed both after positive and negative shocks, but an overreaction behavior is observed instead. Key words: economic shocks. Market efficiency. Overreaction. Uncertain information hypothesis. Underreaction. Event study.

scholarly journals Interest rate, liquidity and stock market performance in Ghana

2016 ◽  
Vol 4 (1) ◽  
pp. 46 ◽  
Author(s):  
Micheal Kofi Boachie ◽  
Isaac Osei Mensah ◽  
Albert Opoku Frimpong ◽  
Martin Ruzima
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Stock Exchange ◽  
Market Performance ◽  
Stock Market Index ◽  
Monthly Data ◽  
Market Index ◽  
Stock Market Performance ◽  
M Estimation ◽  
Ghana Stock Exchange

<p>In this study, we examined the effect of interest rate and liquidity growth on stock market performance in Ghana using monthly data from the Ghana Stock Exchange and Bank of Ghana for the period 2010:12 to 2013:11. After employing robust linear regression (M-Estimation), there is a compelling evidence that performance of the Ghanaian stock market is highly influenced by liquidity growth, exchange rate and inflation; and that interest rate effect is insignificant though positive on the stock market index for the period under study.</p>

scholarly journals Crash occurrence probability and stock market efficiency the indie stock exchange case via Shannon entropy

2012 ◽  
Vol 2 (2) ◽  
pp. 158 ◽  
Author(s):  
Boubaker Adel ◽  
Sahli Lamia
Keyword(s):  
Stock Market ◽  
Shannon Entropy ◽  
Stock Exchange ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Informational Efficiency ◽  
Stock Market Index ◽  
Market Index ◽  
Symbolic Time Series Analysis ◽  
The Relationship

In this study, we evaluate the relationship between efficiency and probability of the crash, thus the evolution of the daily informational efficiency is measured for the indie stock market index. The efficiency, which is the issue addressed by the weak-form efficient market hypothesis, is calculated using a new method the Shannon entropy and the symbolic time series analysis. A logit model is applied in order to study the relationship between efficiency and probability of the financial crash.

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