scholarly journals The Effects of Interest Rates Volatility on Stock Market Returns in Malaysia and Singapore

2012 ◽  
Author(s):  
Karen AL Tan ◽  
Mohamed Hisham Dato Hj Yahya ◽  
Amin Nordin Bany Ariffin
Keyword(s):  
Stock Market ◽  
Interest Rates ◽  
Composite Index ◽  
Negative Relationship ◽  
Stock Market Volatility ◽  
Kuala Lumpur ◽  
Market Returns ◽  
Stock Market Returns ◽  
Interest Rate Volatility ◽  
Strong Positive Relationship

This research examines the eff ects of interest rates volatility on stock market returns in Malaysia and Singapore. The data used are market returns on the FBM Kuala Lumpur Composite Index (FBM KLCI) and 3-months deposit yields in Malaysia over the period of September 1999 to December 2010. For the Singaporean market, the monthly data of market returns on the Straits Times Index (STI) and 3-months deposit yields in Singapore during the same period are used. Two separate GARCH (1,1) models are applied for Malaysia and Singapore. Results suggest that interest rate volatility in each country has a strong positive relationship with its respective stock market volatility. The results also show that the volatility of interest rates has a negative relationship with the stock market return but the relationship is insignificant.   Keywords: Interest rates, stock market, GARCH, Malaysia, Singapore, FBM KLCI, STI.

scholarly journals SHORT TERM INTEREST RATES IMPACT ON GHANA STOCK MARKET

2013 ◽  
Vol 8 (3) ◽  
Author(s):  
Augustine Addo ◽  
Fidelis Sunzuoye
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Market Returns ◽  
Treasury Bill ◽  
Stock Market Returns ◽  
Long Run ◽  
Ghana Stock Exchange

The study examines the joint impact of interest rate and Treasury bill rate on stock market returns on Ghana Stock Exchange over the period between January 1995 and December 2011. Using Johansen’s Multivariate Cointegration Model and Vector Error Correction Model the study establish that there is cointegration between Interest rate, Treasury bill rate and stock market returns indicating long run relationship. On the basis of the Multiple Regression Analysis (OLS) carried out by Eviews 7 program, the results shows that Treasury bill rate and interest rate both have a negative relationship with stock market returns but are not significant.  These results show that interest rate and Treasury bill rate have both negative relationship but weak predictive power on stock market returns independently. The study conclude that interest rate and Treasury bill rate jointly impact on stock market returns in the long run.

scholarly journals Relationship Among Political Instability, Stock Market Returns and Stock Market Volatility

2017 ◽  
Vol 12 (2) ◽  
pp. 70-99 ◽  
Author(s):  
Hira Irshad
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Political System ◽  
Political Instability ◽  
Negative Relationship ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Relationship Of ◽  
The Relationship

Abstract This study investigated the relationship of political instability with the stock prices. Results of the study indicated the negative relationship of stock prices with political instability. Moreover, results of suggested that instable political system ultimately leads decline in stock prices. Inflation has shown negative relationship with stock prices whereas, industrial production and Exports have positive relationship with stock prices.

scholarly journals Interest Rate And Stock Market Returns In Namibia

2014 ◽  
Vol 13 (4) ◽  
pp. 689
Author(s):  
Joel Hinaunye Eita
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Causal Relationship ◽  
Negative Relationship ◽  
Market Returns ◽  
Causality Test ◽  
Stock Market Returns ◽  
Stock Market Return

This paper analyses the causal relationship between interest rate and stock market return in Namibia for the period 1996 to 2012. The analysis was done through cointegrated vector autoregression methods. The analysis reveals that there is a negative relationship between stock market returns and interest rates in Namibia. Causality test indicates that there is bi-directional causality between stock market returns and interest rate in Namibia. The results suggest that contractionary monetary policy through higher interest rate decreases stock market returns in Namibia.

Relationship between Foreign Portfolio Investments (FPI), Domestic Institutional Investors, and Stock Market Returns in India

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Negative Relationship ◽  
Trading Strategies ◽  
Market Returns ◽  
Stock Market Returns ◽  
Foreign Portfolio Investment ◽  
Stock Market Return ◽  
Indian Stock Market ◽  
Feedback Trading

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.

scholarly journals Effects of Daylight Saving Time Changes on Stock Market Volatility: A Reply

2011 ◽  
Vol 109 (3) ◽  
pp. 863-878 ◽  
Author(s):  
Hakan Berument ◽  
Nukhet Dogan
Keyword(s):  
Stock Market ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Daylight Saving Time ◽  
Daylight Saving ◽  
Stock Market Return ◽  
Decision Making Processes ◽  
Time Changes ◽  
The Relationship

There is a rich array of evidence that suggests that changes in sleeping patterns affect an individual's decision-making processes. A nationwide sleeping-pattern change happens twice a year when the Daylight Saving Time (DST) change occurs. Kamstra, Kramer, and Levi argued in 2000 that a DST change lowers stock market returns. This study presents evidence that DST changes affect the relationship between stock market return and volatility. Empirical evidence suggests that the positive relationship between return and volatility becomes negative on the Mondays following DST changes.

Effects of Daylight-Saving Time Changes on Stock Market Returns and Stock Market Volatility: Rebuttal

2013 ◽  
Vol 112 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Mark J. Kamstra ◽  
Lisa A. Kramer ◽  
Maurice D. Levi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Daylight Saving Time ◽  
Daylight Saving ◽  
Time Changes ◽  
Saving Effect

In a 2011 reply to our 2010 comment in this journal, Berument and Dogen maintained their challenge to the existence of the negative daylight-saving effect in stock returns reported by Kamstra, Kramer, and Levi in 2000. Unfortunately, in their reply, Berument and Dogen ignored all of the points raised in the comment, failing even to cite the Kamstra, et al. comment. Berument and Dogen continued to use inappropriate estimation techniques, over-parameterized models, and low-power tests and perhaps most surprisingly even failed to replicate results they themselves reported in their previous paper, written by Berument, Dogen, and Onar in 2010. The findings reported by Berument and Dogen, as well as by Berument, Dogen, and Onar, are neither well-supported nor well-reasoned. We maintain our original objections to their analysis, highlight new serious empirical and theoretical problems, and emphasize that there remains statistically significant evidence of an economically large negative daylight-saving effect in U.S. stock returns. The issues raised in this rebuttal extend beyond the daylight-saving effect itself, touching on methodological points that arise more generally when deciding how to model financial returns data.

scholarly journals The Relevance of Cboe Volatility Index to Stock Markets in Emerging Economies

2015 ◽  
Vol 6 (1) ◽  
pp. 93-106
Author(s):  
Tamara Mariničevaitė ◽  
Jovita Ražauskaitė
Keyword(s):  
Stock Market ◽  
Emerging Economies ◽  
Stock Markets ◽  
Chinese Stock Market ◽  
Stock Market Volatility ◽  
Global Risk ◽  
Stock Market Index ◽  
Market Returns ◽  
Stock Market Returns ◽  
Volatility Index

We examine the capability of CBOE S&P500 Volatility index (VIX) to determine returns of emerging stock market indices as compared to local stock markets volatility indicators. Our study considers CBOE S&P500 VIX, local BRIC stock market volatility indices and BRIC stock market MSCI indices daily returns in the period from January 1, 2009 to September 30, 2014. Research is conducted in two steps. First, we perform Spearman correlation analysis between daily changes in CBOE S&P500 VIX, local BRIC stock market VIX and MSCI BRIC stock market indices returns. Second, we perform multiple regression analysis with ARCH effects to estimate the relevance of CBOE S&P500 VIX and local VIX in determining BRIC stock market returns. Research reports weak correlation between CBOE S&P500 VIX and local VIX (except for Brazil). Furthermore, results challenge the assumption of CBOE S&P500 VIX being an indicator of global risk aversion. We conclude that commonly documented trends of rising globalization and stock markets co-integration are not yet present in emerging economies, therefore the usage of CBOE S&P500 VIX alone in determining BRIC stock market returns should be considered cautiously, and local volatility indices should be accounted for in analysis. Furthermore, the data confirms the presence of safe haven properties in Chinese stock market index.

scholarly journals Is There a Connection between Sovereign CDS Spreads and the Stock Market? Evidence for European and US Returns and Volatilities

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1667
Author(s):  
Laura Ballester ◽  
Ana González-Urteaga
Keyword(s):  
Stock Market ◽  
Financial Crises ◽  
Credit Default Swap ◽  
Equity Returns ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Credit Default ◽  
The Us ◽  
The Relationship

This study complements the current literature, providing a thorough investigation of the lead–lag connection between stock indices and sovereign credit default swap (CDS) returns for 14 European countries and the US over the period 2004–2016. We use a rolling VAR framework that enables us to analyse the connection process over time covering both crisis and non-crisis periods. In addition, we analyse the relationship between stock market volatility and CDS returns. We find that the connection between the credit and equity markets does exist and that it is time variable and seems to be related to financial crises. We also observe that stock market returns anticipate sovereign CDS returns, and sovereign CDSs anticipate the conditional volatility of equity returns, closing a connectedness circle between markets. Contribution percentages in terms of returns are more intense in the US than in Europe and the opposite result is found with respect to volatilities. Within Europe, a greater impact in Eurozone countries compared to non-Eurozone countries is observed. Finally, an additional analysis is also carried out for the financial sector, obtaining results largely consistent with those found using sovereign data.

scholarly journals NONLINEAR RELATIONSHIPS AND VOLATILITY SPILLOVERS AMONG HOUSE PRICES, INTEREST RATES AND STOCK MARKET PRICES

2016 ◽  
Vol 20 (4) ◽  
pp. 371-383 ◽  
Author(s):  
Hsiang-Hsi LIU ◽  
Sheng-Hung CHEN
Keyword(s):  
Stock Market ◽  
Interest Rates ◽  
Goodness Of Fit ◽  
House Prices ◽  
House Price ◽  
Smooth Transition ◽  
Market Returns ◽  
Market Prices ◽  
Stock Market Returns ◽  
Volatility Spillovers

This paper addresses the interaction between interest rates and the significant increases in both Taiwanese house and stock market prices seen in recent years. Changes in house prices impact banks’ nonperforming loans, whereas changes in interest rates directly influence the ability of individuals and businesses to pay loan interest, accentuating the co-movements between house and stock mar-ket prices. We investigate the nonlinear relations and volatility spillovers among house prices, interest rates and stock market prices using monthly data from January 1985 to March 2009 for Taiwan. We find that the Smooth Transition Vector Error Correction GARCH (STVEC-GARCH) model has the best forecasting ability based on goodness of fit tests while showing a nonlinear and co-integrated relation among the three variables. Specifically, house price leads stock market returns when the interest rate is led by either house price or stock market returns. The volatility of stock market returns has significant impacts on interest rates, implying that borrowers should be aware of stock market fluctuations and thus strengthen their risk management because of unexpected changes.

Sign in / Sign up

Export Citation Format

Share Document