scholarly journals The Global Financial Crisis, Inflation Rate And Stock Market Returns In Kenya

2017 ◽  
Vol 13 (19) ◽  
pp. 191
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Regression Model ◽  
Inflation Rate ◽  
Global Financial Crisis ◽  
Moderating Effect ◽  
Market Returns ◽  
Stock Market Returns ◽  
Crisis Period ◽  
Product Term

The moderating effect of events such as the 2008 Global Financial Crisis (GFC) on the relation between stock market returns and macroeconomic variables has attracted very little attention. This study investigates the extent to which the 2008 GFC moderated the relationship between inflation rate and stock market returns. The study uses month-onmonth inflation rate and year-on-year inflation rate from 1st January 1993 to 31st December 2015 and divides the sample data into pre-crisis period (from 1st January 1993 to 31st December 2007); crisis period (from 1st January 2008 to 30th June 2009); and post-crisis period (from 1st July 2009 to 31st December 2015). It uses a product-term regression model instead of the most widely applied additive regression model. Results indicate that a unit increase in the both measures of inflation rate had significant depressing effects on stock market returns after the crisis compared to before the crisis. Likewise, the results reveal that average stock market returns were significantly higher after the crisis compared to before the crisis at low rather than medium or high values of the two measures of inflation rate. These results suggest that the Kenyan stock market is highly sensitive to variations in inflation rate, especially as it emerges from a financial or political turmoil. This study is empirically innovative in the sense that it is the first to examine the moderating effect of the 2008 GFC on the relation between inflation rate and stock market returns in Kenya using a product-term model.

Revisiting Macroeconomy–Stock Market Relationship During Times of Economic Crisis: A Study of Emerging Markets

2017 ◽  
Vol 13 (1-2) ◽  
pp. 52-69
Author(s):  
Gagan Deep Sharma ◽  
Mrinalini Srivastava ◽  
Mansi Jain
Keyword(s):  
Latin America ◽  
Financial Crisis ◽  
Stock Market ◽  
Emerging Markets ◽  
Economic Crisis ◽  
Global Financial Crisis ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
The Relationship

This article examines the relationship between six macroeconomic variables and stock market returns of 13 emerging markets from Latin America, Europe, Africa and Asia in the context of global financial crisis of 2008. The findings reveal some commonality in determination and variation of returns with macroeconomic variables from pre-crisis (1st January 2005–31st March 2009) to post-crisis period (1st April 2009–31st March 2016). Further, results show co-integration among most of the macroeconomic variables depicting significant implications for investors and policymakers.

Stock Market Reaction to Corporate Real Estate Divestitures and Acquisitions during the Global Financial Crisis

2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Annie Wong Ping Eng ◽  
Janice YM Lee ◽  
Muhammad Najib Mohamed Razali ◽  
Mat Naim Abdullah @ Mohd Asmoni ◽  
Izran Sarrazin Mohammad
Keyword(s):  
Financial Crisis ◽  
Real Estate ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Market Returns ◽  
Stock Market Returns ◽  
Stock Market Reaction ◽  
Corporate Real Estate ◽  
The Global Financial Crisis ◽  
Real Estate Assets

Real estate divestitures and acquisitions (D&A) are conducted as part of corporate restructuring. This study aims to fill the knowledge gap on abnormal stock market returns (AR) toward D&A activities during the Global Financial Crisis (GFC) in a developing country. Malaysian listed non-real estate companies that conducted D&A during the GFC are used as sample. Event study is applied to determine AR surrounding D&A announcements within (-10day, +10day) event window. Results for both D&A announcements shows insignificant AR on and around announcement date (-1 to +1). For pre-announcement, divesting (acquiring) companies obtain negative (positive) AR, signifying that the market does not favor (favor) divestitures (acquisitions) due to leakage of information. The outcome of post-announcement proves that divesting companies continue to experience negative ARs, although most divesting companies were paid premium prices. However, acquiring companies experience significant and negative post-announcement AR. This is probably due to the price premium which most acquiring companies paid exceeding valuation for their acquisitions. In summary, the market disapproves divestitures in general and acquisitions of real estate assets exceeding their valuations during economic recessions.  

scholarly journals Equity fund flows and stock market returns in the USA before and after the global financial crisis: a VAR-GARCH-in-mean analysis

2019 ◽  
Author(s):  
Vassilios Babalos ◽  
Guglielmo Maria Caporale ◽  
Nicola Spagnolo
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Fund Flows ◽  
Market Returns ◽  
Equity Fund ◽  
Stock Market Returns ◽  
Before And After ◽  
The Usa ◽  
The Global Financial Crisis

Abstract The 2008–2009 global financial crisis has raised new questions about the relationship between equity fund flows and stock market returns. This paper provides new insights by using US monthly data over the period 2000:1–2015:8 and estimating a VAR-GARCH(1, 1)-in-mean model with a BEKK representation, which also includes a switch dummy for the global financial crisis. We find causality-in-mean from stock market returns to equity fund flows (consistently with the feedback-trading hypothesis) only in the post-September 2008 period. There are also volatility spillovers from stock market returns to equity fund flows both before and after the crisis; however, this relationship is not stable, becoming weaker in the crisis period. As a robustness check, we augment the model with a set of macroeconomic control variables. Their inclusion does not affect the main results.

Convergence of Returns on Chinese and Russian Stock Markets with World Markets: National and Sectoral Perspectives

2013 ◽  
Vol 223 ◽  
pp. R16-R34 ◽  
Author(s):  
Jan Babecký ◽  
Luboš Komárek ◽  
Zlatuše Komárková
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
The United States ◽  
Market Returns ◽  
Stock Market Returns ◽  
Market Return ◽  
Stock Market Return ◽  
World Markets ◽  
The Impact

Interest in examining the financial linkages of economies has increased in the wake of the 2008/9 global financial crisis. Applying the concepts of beta- and sigma-convergence of stock market returns, we assess changes over time in the degree of stock market integration of Russia and China with each other, as well as with respect to the United States, the Euro Area, and Japan. Our analysis is based on national and sectoral data spanning the period September 1995 to October 2010. Overall, we find evidence for gradually increasing convergence of stock market returns after the 1997 Asian financial crisis and the 1998 Russian financial crisis. Following a major disruption caused by the 2008/9 global financial crisis, the process of stock market return convergence resumes between Russia and China, as well as with world markets. Notably, the episode of sigma-divergence from the 2008/9 crisis is stronger for China than for Russia. We also find that the process of stock market return convergence and the impact of the recent crisis have not been uniform at the sectoral level, suggesting the potential for diversification of risk across sectors.

scholarly journals GARCH (1,1) Models and Analysis of Stock Market Turmoil during COVID-19 Outbreak in an Emerging and Developed Economy

2021 ◽  
Vol 14 (12) ◽  
pp. 576
Author(s):  
Budi Setiawan ◽  
Marwa Ben Abdallah ◽  
Maria Fekete-Farkas ◽  
Robert Jeyakumar Nathan ◽  
Zoltan Zeman
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Global Financial Crisis ◽  
The Impact

COVID-19 pandemic has led to uncertainties in the financial markets around the globe. The pandemic has caused volatilities in the financial market at varying magnitudes, in the emerging versus developed economy. To examine this phenomenon, this study investigates the impact of COVID-19 pandemic on stock market returns and volatility in an emerging economy, i.e., Indonesia, versus developed country, i.e., Hungary, using an event-study approach methodology utilizing GARCH (1,1) model. In this study, the Jakarta Composite Index (JCI) and the b (BUX) data were obtained from Investing and Bloomberg, covering two global events observed within the selected period from 27 September 2006 to 31 August 2021. The data is compared with the stock market volatility data from the global financial crisis in 2007/08. Findings reveal that the recent COVID-19 pandemic had negative stock market returns at a greater magnitude compared to the global financial crisis, in both the emerging and developed economy’s equity market. Stock markets in Indonesia and Hungary have experienced volatility during the crisis. While comparing the result between COVID-19 and the global financial crisis, we found that the volatility on the stock markets is higher in the COVID-19 pandemic than during the global financial crisis. The higher stock market negative returns and volatility during the COVID-19 pandemic triggered the lockdown and limited economic activities, which impacted supply and demand shock. The virus’s propagation and mutation are continually evolving, reminding us that the pandemic is far from over. Developed countries with larger fiscal space seem to find it easier to make responsive policies than countries with a tighter financial budget. Fiscal and monetary policies seem to be a quick solution to stabilize the economy and maintain investor confidence in the Indonesian and Hungarian capital markets. Furthermore, the extension of stock market volatility understanding ensures relevant information for investors, which benefits to mitigate the risk and build sustainable investments of the unprecedented events and enables the promotion of Sustainable Development Goal number 8 (SDG8) to communities, with access to financial products including the stock market, especially during economic and financial uncertainties.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

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