scholarly journals Return Predictability of Stock Price Index in Tehran Stock Exchange

2013 ◽  
Vol 9 ◽  
pp. 59-64
Author(s):  
Mohsen Mehrara
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Asset Price ◽  
Estimation Method ◽  
Return Predictability ◽  
Recursive Estimation ◽  
Parameter Estimates ◽  
Daily Stock Returns

The question of whether asset price changes are predictable has long been the subject of many studies. Many studies, using historical returns based on random walk tests, have shown that stock return is not predictable. We study return predictability of the Tehran Exchange Price Index (TEPIX) based on monthly data from 2000 to 2011. For forecasting the return, we used a recursive estimation method in which the parameter estimates were updated recursively in light of new weekly observations, and also its regressors were changed recursively according to the Schwarz Bayesian Criterion. The results show that the daily stock returns are not predictable using publicly available information.

scholarly journals Margin requirements and Stock Market Volatility in Bangladesh

2012 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
A. F. M. Mainul Ahsan ◽  
Mohammad Osman Gani ◽  
Md. Bokhtiar Hasan
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Margin Requirements ◽  
Margin Requirement ◽  
Daily Stock Returns ◽  
The Impact

Officially margin requirements in bourses in Bangladesh were initiated on April 28, 1999, to limit the amount of credit available for the purpose of buying stocks. The goal of this paper is to measure the impact of changing margin requirement on stock returns' volatility in Dhaka Stock Exchange (DSE). The impact of margin requirement on stock price volatility has been extensively studied with mixed and ambiguous results. Using daily stock returns, we found mixed evidence that SEC's margin requirements have significant impact on market volatility in DSE.

scholarly journals The Effect of Macro Economic Variables on Stock Return of Companies That Listed in Stock Exchange: Empirical Evidence from Indonesia

2019 ◽  
Vol 14 (8) ◽  
pp. 108
Author(s):  
Aminullah Assagaf ◽  
Etty Murwaningsari ◽  
Juniati Gunawan ◽  
Sekar Mayangsari
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Foreign Exchange Rates ◽  
Macroeconomic Variables ◽  
Analysis Technique ◽  
Inflation Rates

This study aims to analysis the effect of macroeconomic variables on the overall return of company shares which is a proxy with changes in the composite stock price index. This study uses secondary data in a period of 20 months from November 2016 to June 2018. While the analysis technique uses multiple linear regression This study found that macroeconomic variables consisting of inflation rates, interest rates, money supply, and foreign exchange rates, stock returns have a significant effect on companies on the Indonesia Stock Exchange.

scholarly journals Analisis Perbedaan Return Portofolio Saham Dengan Metode Beta Historis Dengan Beta Akuntansi

2019 ◽  
Vol 15 (2) ◽  
pp. 211
Author(s):  
Lestari Lestari ◽  
Atty Erdiana
Keyword(s):  
High Risk ◽  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Statistical Test ◽  
High Rate ◽  
The Difference ◽  
The Right ◽  
Portfolio Structure

This study has the right to select securities that have a high risk of being included in the portfolio structure. High-security securities will offer a high rate of return. Portfolios by choosing high-risk securities that are advantageously seen from the investor's perspective.The object of this study is the Indonesian Stock Exchange. The data needed are price data for the Composite Stock Price Index (CSPI) from 2014 to 2017. The analysis of the technique used is beta estimation as a measure of risk with the historical beta method. While the analysis to test the difference in stock returns with historical beta and accounting accounts using the Paired Sample T statistical test. The results are that there are no differences in stock returns with historical beta and accounting beta from companies that go public on the Indonesia Stock Exchange (IDX).

scholarly journals The impact of earnings management on market liquidity

2020 ◽  
Vol 17 (2) ◽  
pp. 389-396
Author(s):  
Do Thi Van Trang ◽  
Dinh Hong Linh
Keyword(s):  
Earnings Management ◽  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Fixed Effect Model ◽  
Market Liquidity ◽  
Listed Firms ◽  
Daily Stock Returns ◽  
The Impact ◽  
Dollar Volume

This article investigates the impact of earnings management on market liquidity measured by the depth of the market. Managers have desired to provide amazing performance of companies, manage their earnings through non-discretionary accruals. Consequently, investors have trouble evaluating the stock value and misunderstanding of the market liquidity because of manipulated information.To this aim, the fixed-effect model (FEM) is implemented to analyze the financial information of 170 listed firms on the Vietnam Stock Exchange over the period 2013–2016. The empirical results emphasized that market liquidity is influenced by earnings management that means the higher level of earnings management, the better equity liquidity. The findings provide additional insight into the determinants of stock liquidity such as earnings management, firm size, daily trading dollar volume of stock, average daily trading dollar volume of the firm, daily returns of stock, daily stock returns, average closing stock price of the firm.

scholarly journals A COMPARATIVE STUDY ON THE INVESTMENT VALUE OF RESIDENTIAL PROPERTY AND STOCKS

2004 ◽  
Vol 8 (2) ◽  
pp. 63-72 ◽  
Author(s):  
Bing Sun ◽  
Hongyu Liu ◽  
Siqi Zheng
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Residential Property ◽  
Investment Value ◽  
Stock Investment ◽  
Property Price ◽  
Weak Negative Correlation

As real estate, residential property comprises not only the value of utilization, but also the value of investment, which is somewhat different from that of securities such as stocks and bonds. In this paper, the investment value of newly‐built residences and stocks are compared and analyzed theoretically and empirically. Firstly, the paper summarizes the diversity of costs, risks, and benefits of these two investments. Secondly, by quoting the quarterly price/rent indices on the housing market and that at the stock exchange in Shanghai, the paper explores the variances of these two investments with respect to their risk‐return characteristics from 1993 to 2003. Thirdly, the paper discusses the correlations between residential property price/rent index, property/general stock price index, and Consumer Price Index (CPI). Finally, by utilizing the Capital Asset Pricing Model (CAPM), the systematic and the unsystematic risks of these investments are segregated and compared with each other, based on a series of assumptions. The result suggests, on a quarterly basis, that residential property investment produces a higher risk‐adjusted return than that of general stock and property stock investment. Because of a weak/negative correlation between residential property and stock returns, residential property is an ideal candidate to be included into the stock investment portfolio. Moreover, residential property and property stock can be used as effective hedges against inflation.

scholarly journals STATISTICAL PROPERTIES OF STATISTICAL ENSEMBLES OF STOCK RETURNS

2000 ◽  
Vol 03 (03) ◽  
pp. 405-408 ◽  
Author(s):  
FABRIZIO LILLO ◽  
ROSARIO N. MANTEGNA
Keyword(s):  
New York ◽  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Temporal Correlation ◽  
Statistical Properties ◽  
Central Moments ◽  
York Stock Exchange ◽  
Daily Stock Returns ◽  
Correlation Properties

We select n stocks traded in the New York Stock Exchange and form a statistical ensemble of daily stock returns for each of the k trading days of our database from the stock price time series. We analyze each ensemble of stock returns by extracting its first four central moments. We observe that these moments are fluctuating in time and are stochastic processes themselves. We characterize the statistical properties of central moments by investigating their probability density function and temporal correlation properties.

scholarly journals FENOMENA MONDAY EFFECT PADA INDEKS HARGA SAHAM GABUNGAN INDONESIA

2018 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Eliza Noviriani ◽  
Soraya Soraya ◽  
Zulham Al Farizi
Keyword(s):  
Stock Returns ◽  
Capital Market ◽  
Stock Price ◽  
Price Index ◽  
Monday Effect ◽  
Good Investment ◽  
Past Data ◽  
Stock Price Index ◽  
Daily Stock Returns ◽  
Almost All

The purpose of this research is to get empirical evidence about Monday effect phenomenon on Indonesia Composite Stock Price Index. The diversity of arguments and research results on the Monday effect phenomenon derived from previous studies makes this phenomenon interesting to investigate. By using Kruskal Wallis test and Simple Regression on 246 daily stock returns during 2016, it can be concluded that there is no Monday effect phenomenon on Indonesia Composite Stock Price Index. It causes condition of Indonesia capital market in 2016. Results show the average positive return occurs in almost all trading days. Only returns on Friday show negative values. This condition shows that the year was a year with a good investment climate so that the frequency of stock trading tends to be positive and evenly throughout the year. In addition, the absence of the Monday effect phenomenon is also marked by the absence of the effect of stock return Friday the previous week against stock returns Monday. These results indicate that form of a weak market efficiency. That means the past data is unrelated to the present value of the Indonesian capital market in 2016.

Stock Market Reaction on Green-Bond Issue: Evidence from Indian Green-Bond Issuers

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal
Keyword(s):  
Stock Returns ◽  
Financial Institutions ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Developed Countries ◽  
Low Carbon ◽  
Bond Issue ◽  
The Government ◽  
The Impact

Purpose: A green bond is a financial instrument issued by governments, financial institutions and corporations to fund green projects, such as those involving renewable energy, green buildings, low carbon transport, etc. This study analyses the effect of green-bond issue announcement on the issuer’s stock price movement. It shows the reaction of the stock price after the issue of green bonds. Methodology: This study is based on secondary data. Green-bond issue dates have been collected from newspaper articles from different online sources, such as Business Standard, The Economic Times, Moneycontrol, etc. The closing prices of stocks have been taken from the NSE (National Stock Exchange of India Limited) website. An event window of 21 days has been fixed for the study, including the 10 days before and after the issue date. Data analysis is carried out through the event study method using the R software. Calculation of abnormal returns is done using three models: mean-adjusted returns model, market-adjusted returns model and risk-adjusted returns model. Findings: The results show that the issue of green bonds has a significant positive effect on the stock price. Returns increase after the green-bond issue announcement. Although the announcement day shows a negative return for all the samples taken for the study, the 10-day cumulative abnormal return (CAR) is positive. Thus, green-bond issues lead to positive sentiments among investors. Research implications: This research article will help the government issue more green bonds so that the proceeds can be utilized for green projects. The government should motivate corporations and financial institutions to issue more green bonds to help the economy grow. In India, very few organizations have issued a green bond. It will be beneficial if these players issue green bonds, as it will increase the firms’ value and boost returns to the investors. Originality/value: The effect of green-bond issue on stock returns has been analysed in some studies in developed countries. This is the first study to examine the impact of green-bond issue on stock returns in the Indian context, to the best of our knowledge.

scholarly journals Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange

2017 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Shakila B. ◽  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar
Keyword(s):  
Health Care ◽  
Stock Returns ◽  
Stock Exchange ◽  
Consumer Durables ◽  
Empirical Results ◽  
Significant Difference ◽  
The Mean ◽  
Daily Stock Returns ◽  
New Evidence ◽  
Care Index

Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five sectoral indices viz S&P BSE Auto Index, S&P BSE Bankex, S&P BSE Consumer Durables Index, S&P BSE FMCG Index and S&P BSE Health Care Index for the period of 10 years starting from 1st April 2007 to 31st March 2017. The data were analyzed using two approaches namely calendar days approach and trading days approach. To test the equality of mean returns for the two halves of the month, Mann-Whitney U test is used. The empirical results of the study did not provide any evidence for the presence of semi-monthly effect in the selected sectoral indices. Nevertheless, BSE Auto Index showed significant difference in the mean returns of first half and second half of trading month during the study period.

scholarly journals FACTORS AFFECTING OPERATING CASH FLOW TO STOCK RETURN THROUGH STOCK PRICE

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Aprih . Santoso
Keyword(s):  
Stock Returns ◽  
Cash Flow ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Return ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Operating Cash Flow

Abstract : Companies need funds in order to carry out operations such as the financing of production activities, pay employees, pay other expenses related to the operation of the company. One way to obtain these funds is to attract investors to invest in companies in the form of stock, but in making this investment is certainly not easy for investors, because investors need consideration beforehand to find out how the company's performance. The purpose of this study was to examine and analyze the effect of operating cash flow to stock return through stock price at companies listed on the Stock Exchange Year 2012-2015. The data used in this study dala are secondary data from the financial statements of companies listed on the Indonesia Stock Exchange period 2012 - 2015. The data are in the form of financial statements can be obtained from the Indonesian Capital Market Directory (ICMD), the IDX website www.idx.co. id as well as from various other sources to support this research. The population in this research is manufacturing companies listed on the Stock Exchange the period 2012 - 2015. The samples taken by the sampling technique used purposive sampling.From the test results and analysis of the data it can be concluded that operating cash flow directly and indirectly has no effect on stock returns through stock prices showed no significant results. Keywords :  Operating Cash Flow, Stock Price, Stocks Return

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