Stock market uncertainty and interest rate behaviour: a panel GARCH approach

2016 ◽  
Vol 24 (11) ◽  
pp. 732-735 ◽  
Author(s):  
Harold Glenn A. Valera ◽  
Mark J. Holmes ◽  
Gazi Hassan
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Market Uncertainty ◽  
Panel Garch ◽  
Rate Behaviour

scholarly journals Conditional Heteroskedasticity and Cross-sectional Dependence in Panel MGARCH: Exchange Rate and Stock Market Uncertainty

2021 ◽  
Author(s):  
Mansour Tour ◽  
Esmaiel Abounoori
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Cross Sections ◽  
Stock Exchange ◽  
Spillover Effects ◽  
Jel Classification ◽  
Market Uncertainty ◽  
Stock Market Index ◽  
Cross Sectional ◽  
Panel Garch

Abstract Despite lots of research concerning different GARCH and Panel-GARCH as well as MGARCH models, we have not seen Panel MGARCH so far reviewing literatures. Though there are spillover effects between cross-sections for one variable, there may be spillover effects and cross-sections dependence for several variables too. The main aim in this research is to use the Panel MGARCH (P-MGARCH) model regarding weekly exchange rate and the stock market index across countries UK, Canada and China during 2010: 10 to 2020: 08. According to the results, the volatility spillover among cross-sections (UK, China and Canada) for variables (Exchange rates and Stock exchange returns) has been confirmed.JEL Classification: C33, C58, F30

Macroeconomic Determinants of Stock Market Prices in Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Developing Economies ◽  
Annual Data ◽  
Economic Variables ◽  
Market Prices ◽  
Ardl Model ◽  
Long Run

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.

Interest Rate, Foreign Exchange Rate, and Stock Market Development in Nigeria

2018 ◽  
Vol 9 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Edward Adedoyin Adebowale ◽  
Akindele Iyiola Akosile
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Foreign Exchange ◽  
The United States ◽  
Ordinary Least Squares ◽  
Foreign Exchange Rate ◽  
Market Development ◽  
National Bureau ◽  
Stock Market Development

This research investigated the effect of interest rate and foreign exchange rate on stock market development in Nigeria. This research was centered on two research problems. First, it was whether interest rate had a significant effect on stock market development in Nigeria. Second, it was whether foreign exchange rate had a significant impact on stock market development in Nigeria. The scope of the research covered the period from 1981 to 2017. Data for this period were chosen because it covered pre and post-liberalization periods of Nigerian financial system. This research made use of ex post facto research design. Secondary data were sourced from Nigerian Stock Exchange reports, Central Bank of Nigeria statistical bulletins, and National Bureau of Statistics publications. Data were collected on Stock Market Capitalization (SMC), Prime Lending Rate (PLR) and Real Exchange Rate (RER) (Nigerian Naira in relation to American Dollars of the United States). Data analysis was carried out with Ordinary Least Squares (OLS) and Cochrane-Orcutt Iterative techniques. The findings reveal that interest rate has a significant negative effect, and foreign exchange rate has a significant positive effect on Nigerian stock market development during the period covered. It is suggested that monetary authorities should strive to formulate policies that will make interest and foreign exchange rates stable, competitive, and at a level that will stimulate the investment of funds in the stock market.

scholarly journals Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Pavel Kotyza ◽  
Katarzyna Czech ◽  
Michał Wielechowski ◽  
Luboš Smutka ◽  
Petr Procházka
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Market ◽  
Structural Breaks ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Market Uncertainty ◽  
Volatility Index ◽  
The Global Financial Crisis ◽  
The Relationship

Securitization of the agricultural commodity market has accelerated since the beginning of the 21st century, particularly in the times of financial market uncertainty and crisis. Sugar belongs to the group of important agricultural commodities. The global financial crisis and the COVID-19 pandemic has caused a substantial increase in the stock market volatility. Moreover, the novel coronavirus hit both the sugar market’s supply and demand side, resulting in sugar stock changes. The paper aims to assess potential structural changes in the relationship between sugar prices and the financial market uncertainty in a crisis time. In more detail, using sequential Bai–Perron tests for structural breaks, we check whether the global financial crisis and the COVID-19 pandemic have induced structural breaks in that relationship. Sugar prices are represented by the S&P GSCI Sugar Index, while the S&P 500 option-implied volatility index (VIX) is used to show stock market uncertainty. To investigate the changes in the relationship between sugar prices and stock market uncertainty, a regression model with a sequential Bai–Perron test for structural breaks is applied for the daily data from 2000–2020. We reveal the existence of two structural breaks in the analysed relationship. The first breakpoint was linked to the global financial crisis outbreak, and the second occurred in December 2011. Surprisingly, the COVID-19 pandemic has not induced the statistically significant structural change. Based on the regression model with Bai–Perron structural changes, we show that from 2000 until the beginning of the global financial crisis, the relationship between the sugar prices and the financial market uncertainty was insignificant. The global financial crisis led to a structural change in the relationship. Since August 2008, we observe a significant and negative relationship between the S&P GSCI Sugar Index and the S&P 500 option-implied volatility index (VIX). Sensitivity analysis conducted for the different financial market uncertainty measures, i.e., the S&P 500 Realized Volatility Index confirms our findings.

scholarly journals Factors Affecting the Performance of Kuwait Stock Market

2016 ◽  
Vol 9 (5) ◽  
pp. 23
Author(s):  
Ebrahim Merza ◽  
Sayed-Abbas Almusawi
Keyword(s):  
Interest Rate ◽  
Real Estate ◽  
Stock Market ◽  
Banking Sector ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Gold Price ◽  
Oil Price ◽  
Factors Affecting ◽  
Insurance Sector

<p>This paper aims at finding the effective factors that influence three sectors in Kuwait stock exchange market (KSE) in addition to the whole stock market. The three sectors are banking, real estate and insurance sectors. The paper measures KSE performance through the average share prices calculated on a quarterly basis starting from 2005 until first quarter of 2015. It is found that each sector behaves differently towards macroeconomic variables. The most important determinants for the KSE overall market performance were found to be gold price and the deposits rate. Individually, the banking sector is influenced by consumer price index, interest rate on loans, oil price and gold price. The insurance sector is influenced by money supply, residential real estate price and oil price. The real estate sector is influenced by the exchange rate with respect to US dollars, interest rate on loans, oil price and gold price.</p>

The Impact of Policy Uncertainty on Macro Variables – An SVAR-Based Empirical Analysis for EU Countries

2017 ◽  
Vol 68 (2) ◽  
Author(s):  
Dominik Kronen ◽  
Ansgar Belke
Keyword(s):  
Stock Market ◽  
Policy Uncertainty ◽  
Stock Market Volatility ◽  
Market Uncertainty ◽  
Vector Autoregressive ◽  
Svar Model ◽  
Negative Effect ◽  
Macro Variables ◽  
The Impact ◽  
Structural Vector

AbstractIn light of the rising political and economic uncertainty in Europe, we aim to provide a basic understanding of the impact of policy and stock market uncertainty on a set of macroeconomic variables such as production and investment. In this paper, we apply a structural vector autoregressive (SVAR) model to gain first insights that may help to identify avenues for further research. We find that stock market volatility shows a fairly consistently negative effect. However, the implications of policy uncertainty for Europe and the euro area in particular are not so straightforward.

scholarly journals Influencing Factors of Stock Price in Nepal

NCC Journal ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 113-120
Author(s):  
Krishna Bahadur Thapa
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Influencing Factors ◽  
Stock Price ◽  
Stock Exchange ◽  
Positive Association ◽  
Share Price ◽  
Financial Statement ◽  
Inverse Association ◽  
Significant Positive Association

This paper explores the influencing factors of stock price in Nepal (with reference to Nepalese commercial banks) listed on the Nepal Stock Exchange Ltd. over the period of 2008 to 2018AD. The information were collected from questionnaire and financial statement of concerned organizations and analyzed using simple linear regression model. The conclusions of the work revealed that earning per share (EPS), dividend per share (DPS), effective rules and regulations, market whims and rumors, company profiles and success depend upon luck have the significant positive association with share price while interest rate (IR) and price to earnings ratio (PER), showed the significant inverse association with share price. Further, accessibility of liquidity, fundamental and technical analysis stimulates the performance of the Nepalese stock market. More importantly, stock market has been found to respond significantly to changes in dividend and interest rate.

scholarly journals Social and Economic Drivers of Stock Market Performance in Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 137-143
Author(s):  
Ismaila Akanni Yusuf ◽  
Mohammed Bashir Salaudeen ◽  
Hope Agbonrofo
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Life Expectancy ◽  
Stock Market ◽  
Positive Impact ◽  
Market Performance ◽  
Secondary Data ◽  
Ordinary Least Squares ◽  
Stock Performance ◽  
Stock Market Performance

The study examines the effect of the social and economic indicators on the stock market performance in Nigeria between 1981 and 2019. The study employs secondary data from the World Bank and Central Bank of Nigeria using the ordinary least squares as the technique of estimation. Findings show that regarding the economic drivers, interest rate, exchange rate, and inflation rate negatively impact the stock market while only income exerts a positive impact. However, both income and interest rate are significant economic drivers of stock performance. Regarding social drivers, life expectancy, poverty, and population exert a positive impact on stock performance. Similarly, both life expectancy and population are significant social drivers of stock market performance in Nigeria. The study recommends that monetary authorities should be cautious in avoiding discretionary policies that might hike the exchange rate; otherwise, the flow of funds to the stock market will be derailed. Also, the fiscal authority should invest massively in safety nets programmes to enhance the capacity of the growing population and reduce poverty.

Sign in / Sign up

Export Citation Format

Share Document