Long Run Relationship Between Aggregate Stock Prices and Macroeconomic Factors in BRICS Stock Markets


Book Description

This paper comprehensively examines the long run relationship between aggregate stock prices and select macroeconomic factors (i.e., GDP, Inflation, Interest Rate, Exchange Rate, Money Supply and International Oil Prices) in the emerging BRICS markets over the period 1995 to 2014 using quarterly data. To assess the impact of global financial crisis on this relationship, we consider two sub periods viz., a Pre Crisis period (1995:Q1 to 2007:Q2) and a Post Crisis Period (2007:Q3 to 2014:Q4). Long Run Granger Causality Test, Johansen's Cointegration Test (both Bivariate & Multivariate) and Vector Error Correction Mechanism (VECM) are applied. Overall, we find that there is unidirectional long run causality from Stock prices to GDP, Inflation & Interest Rate. A bidirectional long run causal relationship of Stock prices is found with Money Supply and Oil Prices. Also, the long run granger causal relationship differs significantly between pre and post crisis periods for all the macroeconomic variables. Johansen's Cointegration results suggest presence of long run equilibrium relationship between BRICS Stock prices and select Macroeconomic Factors (except Inflation and Oil Prices). There was no major difference in cointegration results in pre and post crisis periods except for Inflation and Interest rate, implying that global financial crisis has led to greater long run integration of stock market with the real economy. VECM results indicate that error correction to restore equilibrium is more in stock market than in macroeconomic factors. Thus, in times of any destabilisation or disequilibrium in long run the real economy leads the stock market to a new equilibrium. These findings, besides augmenting the empirical literature and knowledge domain on the topic, have significant implications for policy makers, regulators, academicians, researchers and investment community particularly in emerging markets.




Relationship Between Macroeconomic Factors and Aggregate Stock Returns in BRICS Stock Markets - A Panel Data Analysis


Book Description

This paper examines the relationship between select macroeconomic factors (i.e., GDP, Inflation, Interest Rate, Exchange Rate and Money Supply) and aggregate stock returns in emerging markets constituting the BRICS block over the period 1995 to 2014 using quarterly panel data. This relationship is also examined during two sub periods viz., a Pre Crisis period (1995:Q1 to 2007:Q2) and a Post Crisis Period (2007:Q3 to 2014:Q4). Robust econometric tests like Panel Granger Causality Test, Pedroni's Panel Cointegration Test and Panel Auto Regressive Distributed Lag (ARDL) Model has been used. We find that primarily in short run there is unidirectional causality running from stock returns to GDP growth rate, inflation rate, rate of change in exchange rate and money supply. The results are almost similar in pre and post crisis periods, except that in the pre crisis period, there is bidirectional causality between stock returns and inflation, while in the post crisis period it disappears. Long run panel causality results reveals unidirectional causality from stock returns to GDP growth rate in total and post crisis periods. However in pre crisis period, there was no long run causal relationship. Pedroni's panel cointegration test shows that stock indices are cointegrated with GDP in total period and with GDP, inflation and money supply in post crisis period. Panel ARDL models have explanatory power ranging from 28% in total period to 62% in post crisis period. We find that while current stock returns are negatively linked to rate of change in exchange rate and money supply; they are positively linked to their own lagged values. In pre crisis period, rate of change in money supply significantly explains stock returns while in post crisis period, inflation rate, interest rate and rate of change in exchange rate and money supply negatively affects BRICS panel stock returns. These findings, besides augmenting the empirical literature and knowledge domain on the topic, have significant implications for policy makers, regulators, researchers and investing community in emerging markets. The regulators need to ensure that financial sector reforms agenda consciously considers interlinkages between stock markets and real economy. The investment community can devise investment strategy, using the results of this study to earn arbitrage profits in emerging stock markets.




Do Macroeconomic Variables Affect Stock Returns in BRICS Markets? An ARDL Approach


Book Description

The Arbitrage Pricing Theory (APT) propounded by Ross in 1976 argued for a variety of macro economic variables (sources of systematic risk) in explaining stock returns. In the same vein, this paper examines the relationship between macroeconomic variables (GDP, inflation, interest rate, exchange rate, money supply, and oil prices) and aggregate stock returns in BRICS markets over the period 1995-2014 using quarterly data. We have applied Auto Regressive Distributed Lag (ARDL) model to document such a relationship for individual countries as well as for panel data.Contrary to general belief, we find that GDP and inflation are not found to be significantly affecting stock returns in most of BRICS markets mainly because Stock returns generally tend to lead rather than follow GDP and inflation. In line with the theory and literature, we find significant negative impact of interest rate, exchange rate and oil prices on stock returns and a positive impact of money supply.This study would be a valuable addition to the growing body of empirical literature on the subject besides being useful to policy makers, regulators and investment community. Policy makers and regulator should watch out for impact of fluctuations in exchange rate, interest rate, money supply, and oil prices on volatility in their stock markets. Investor can search for arbitrage opportunities in BRICS markets on the basis of these variables but not the basis of GDP or inflation.




Stock Market Equilibrium and Macroeconomic Fundamentals


Book Description

Recently, there has been a resurgence of research interest in the role played by stock markets in developing countries. The International Finance Corporation (IFC) in Washington has set up the Emerging Markets Study Group particularly devoted to the understanding of the relationship between the development of stock markets and the functioning of financial intermediaries and its overall effect on growth. This paper examines the efficiency characteristics of the Stock Exchange of Singapore (SES) and its role in the economy.




Estimating the Relationship Between BRICS and U.S. Stock Index Returns Using Panel Regression Methods


Book Description

"This thesis examines the relationships between BRICS (Brazil, Russia, India, China and South Africa) stock index returns and U.S. stock index returns using a panel data covering the period from 1990 to 2013. This relationship is further examined in relation to both the global financial crisis in 2007-2009 and BRICS’ own financial crises in 1997-1999. To control for the effects of economic factors on stock markets, three macroeconomic variables including GDP growth rate, nominal interest rate, and exchange rate are included in empirical models. The panel regression methods are used in this thesis. Results reveal that index returns in BRICS stock markets are significantly responsive to the U.S. stock market performance. However, the findings show that the BRICS stock markets did not underperform during the global financial crisis. Instead, BRICS index returns increased during that time. The results also exhibit that while financial crises originated in the BRICS economies adversely affected index returns of respective stock markets in those countries, this negative impact can be reduced by choosing U.S. stocks subject to the U.S. stock market performing well during the same time. Hence, a portfolio consisting of stocks from both BRICS and U.S. markets could be beneficial for reducing the risk of financial crisis. The thesis concludes with policy recommendation suggesting that a close monitoring of U.S. financial market is critical for BRICS investors who prefer to invest in U.S. stocks. Also, there is a need for international fund managers who invest in newly emerging stock markets to evaluate the value and stability of domestic currencies as part of their stock market investment decisions."--Leaf ii.




An Introduction to Wavelets and Other Filtering Methods in Finance and Economics


Book Description

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. The first book to present a unified view of filtering techniques Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series Provides easy access to a wide spectrum of parametric and non-parametric filtering methods




Efficiency and Anomalies in Stock Markets


Book Description

The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.




Efficiency and Volatility Dynamics of Bangladesh's Stock Market


Book Description

This book contributes to empirical finance by comprehensively analysing an emerging stock market, employing modern econometric techniques. The most central and fascinating area of financial economics is probably the efficiency and volatility of the stock market – however, studies of emerging economies are relatively limited in this area. The rising importance of stock market globalisation has increased interest in emerging markets. This book leads the way for an emerging market perspective, as it explores the issue of efficiency and volatility of the stock market in Bangladesh by employing both univariate and multivariate models, using daily data of past share prices and monthly data of macroeconomic variables and the stock index, respectively. This book offers an understanding of the crucial issues facing developing economies, particularly emerging stock markets with similar characteristics to those of Bangladesh. This book undoubtedly provides valuable information for investors in the stock market, graduate, post-graduate, and PhD students in quantitative financial economics, academics in economics and finance, and policymakers in developing economies.




The Spectral Analysis of Time Series


Book Description

The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines and cosines. The investigator can used Fourier decompositions or other kinds of spectrals in time series analysis. The text explains the Wiener theory of spectral analysis, the spectral representation for weakly stationary stochastic processes, and the real spectral representation. The book also discusses sampling, aliasing, discrete-time models, linear filters that have general properties with applications to continuous-time processes, and the applications of multivariate spectral models. The text describes finite parameter models, the distribution theory of spectral estimates with applications to statistical inference, as well as sampling properties of spectral estimates, experimental design, and spectral computations. The book is intended either as a textbook or for individual reading for one-semester or two-quarter course for students of time series analysis users. It is also suitable for mathematicians or professors of calculus, statistics, and advanced mathematics.




Modeling Economic Growth in Contemporary India


Book Description

This volume focuses on core topics of economic disruption caused by the Covid-19 pandemic: changes in socio-cultural relationships, behavioural patterns and psychological attitudes governing human interaction, and government policies to stabilize the Indian economy and contribute to sustainable growth.