scholarly journals Volatility of Stock Prices in Tanzania: Application of Garch Models to Dar Es Salaam Stock Exchange

2021 ◽  
Vol 9 (1) ◽  
pp. 15-28
Author(s):  
Khatibu Kazungu ◽  
John R. Mboya
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Dar Es Salaam ◽  
Garch Models

scholarly journals The Relationship between Stock Prices and Exchange Rates: The Focus on Dar Es Salaam Stock Exchange (DSE)

2017 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Fredynandy M John ◽  
Zakayo S Kisava
Keyword(s):  
Exchange Rates ◽  
Granger Causality ◽  
Stock Prices ◽  
Stock Exchange ◽  
Dar Es Salaam ◽  
Data Sets ◽  
Short Term ◽  
Vector Autoregressive ◽  
United States Dollar ◽  
Daily Data

This paper aims to examine the existing relationship between the prices of different stocks traded in the Dar es Salaam Stock Exchange (DSE) and the Tanzanian Shillings – United States dollar exchange rates (TZS/USD). In this study, we use the daily data sets covering a period of six years from August 15, 2011 through July 28, 2017 making 1455 observations. Vector Autoregressive (VAR) – Granger Causality model is employed accompanied with several tests conducted on the variables and the model itself. The findings conclude that, there is a short-term association between Stock Prices (SP) and Exchange Rates (ExR). Additionally, Stock Prices Granger Causes Exchange Rates as evidenced by Granger Causality and the Impulse test. These findings are supported by the fact that shocks in the Exchange Rates have no effect in the Stock Prices. This could mean that an investor can invest in short term at the DSE.

scholarly journals Use GARCH Models to Build a Econometric Model to Predict Average Daily Closing Prices of the Iraqi Stock Exchange for the Period 2013-2016

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 385-400
Author(s):  
Dr. Abed Ali Hamad ◽  
Dr. Ahmad Hussein Battal
Keyword(s):  
Stock Prices ◽  
Econometric Model ◽  
Stock Exchange ◽  
Financial Time Series ◽  
Information Criterion ◽  
Garch Models ◽  
Financial Time ◽  
Egarch Model ◽  
Schwarz Criterion ◽  
Statistical Criteria

This research aims to build a standard model for the analysis and prediction of the average daily closing price fluctuations for companies registered in the Iraq Stock Exchange for the period 07/01/2013 to 30/06/2016, using the conditional generalized Heteroscedasticity Generalized Autoregressive (GARCH) models. As these models deal with the fluctuations that occur in the financial time series. The results of the analysis showed that the best model for predicting the volatility of average closing prices in the Iraq Stock Exchange is the EGARCH model (3,1), depending on the statistical criteria used in the preference between the models (Akaike Information Criterion, Schwarz Criterion), and these models can provide information for investors in order to reduce the risk resulting from fluctuations in stock prices in the Iraqi financial market.

The Effect of Current Ratio and Debt to Asset Ratio on Net Profit Margin and Stock Prices: A Study of Basic Industry and Chemicals Companies

2020 ◽  
pp. 282-294
Author(s):  
Sudirman S ◽  
Muhammad Wahyuddin Abdullah ◽  
Muhammad Obie
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Secondary Data ◽  
Profit Margin ◽  
Current Ratio ◽  
Industry Sector ◽  
Basic Industry ◽  
Net Profit ◽  
Equity Ratio ◽  
Index Value

This study examined the effect of current ratio and debt to asset ratio on net profit margin and stock prices of the sector basic industry and chemicals companies listed on the Indonesia Stock Exchange in the period 2015-2019. The object of research was the stock prices of companies in the Basic Industry and Chemicals sector, which have been published through the official website of the Indonesian capital market. It was used secondary data derived from the monthly statistics, including Current Ratio data, Net Profit Margin, Debt to Asset Ratio, and data on closing prices for the period 2015-2019. In analyzing data, it was used path analysis of secondary data obtained from the basic industry sector financial statements of 60 companies. The company's performance in this sector is considered quite good when seen from the movement of the index value in the last five years. The results show that direct current ratio had a positive and significant effect on the net profit margin, and the debt to equity ratio did not significantly influence the net profit margin. The current ratio has a positive and significant effect on stock prices, and the debt to equity ratio has a negative and not significant effect on stock prices. In contrast, the net profit margin has a significant effect on stock prices in the basic industry sector companies on the Indonesia Stock Exchange. Indirectly the current ratio has a positive and significant effect on stock prices. In contrast, the debt to asset ratio has a negative and not significant effect on the company's stock prices in the basic industry sector on the Indonesia Stock Exchange.

The Effect of Managerial Ownership, Financial Performance, Corporate Competition on Stock Prices with Capital Structure as the Intervening Variable in the Coal Mining Companies Listed on the Indonesia Stock Exchange

2020 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Yulia Afriani ◽  
Abdul Rakhman Laba ◽  
Andi Aswan
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Coal Mining ◽  
Stock Prices ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Managerial Ownership ◽  
Firm Competition ◽  
Mining Companies

This study aimed to find out the effect of managerial ownership, financial performance, corporate competition on stock prices with capital structure as the intervening variable in the coal mining companies listed on the Indonesia Stock Exchange. Managerial ownership variables by the shareholding presentation. Financial performance variables by Total Asset Turnover (TATO). Firm competition variable by Concentration Ratio (CR). Capital structure variables by Debt to Equity Ratio (DER). Stock prices variable by Price to Book Value (PBV). The population of this study was the coal mining companies listed on the IDX. This study used Purposive as the sampling technique. The data source was secondary data from financial statements published through the IDX official website. This study used descriptive statistics and inferential statistics with a quantitative approach using regression techniques with the E-Views version 10 program. The results of this study showed that the dealings of managerial ownership had a positive and significant effect on DER, TATO had a negative and not significant effect on DER, while CR had a negative and significant effect on DER. The dealings of managerial ownership, TATO, DER has a positive and significant effect on PBV, while CR has a negative and not significant. The dealings of managerial ownership influences PBV through DER, interestingly TATO has no effect on PBV through DER and CR influences PBV through DER

Effect Of Leverage, Inflation And GDP To Share Price Pt. Astra Otoparts Tbk.

ProBank ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 17-21
Author(s):  
Heriyanta Budi Utama ◽  
Florianus Dimas Gunurdya Putra Wardana
Keyword(s):  
Gross Domestic Product ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Share Price ◽  
Domestic Product ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Purposive Sampling

The purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015. The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression. The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share priceThe purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015.The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression.The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share price

The Nexus Between Johannesburg Stock Exchange and the United States Unemployment Rate Announcement: An Impulse Response Analysis

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 160-168
Author(s):  
Misheck Mutize ◽  
Victor Virimai Mugobo
Keyword(s):  
United States ◽  
South African ◽  
Impulse Response ◽  
Unemployment Rate ◽  
Stock Prices ◽  
Stock Exchange ◽  
The United States ◽  
Response Analysis ◽  
Johannesburg Stock Exchange ◽  
The Us

The study explores the relationship between the unemployment rate in the United States and South Africa’s stock prices from the beginning of 2013 to the last day 2017. The objective of this paper is to examine the impact of the US unemployment rate announcement on the South African financial market. Results of Impulse Response analysis show that there is a very minimal impact from the US unemployment announcement to South Africa’s stock prices which disappears within two days of the announcement. In addition, the Johannesburg stock exchange index marginally responds to own shocks, which marginally fades away within two days. These findings imply that the changes in the US employment policies have a direct ripple effect on the South African macroeconomic environment, its investing public sentiments and corporate confidence on the future prospects of businesses.

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