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Long-Run Equilibrium Relationships in the International Stock Market Factor Systems

Long-Run Equilibrium Relationships in the International Stock Market Factor Systems
Author: Hyung-Suk Choi
Publisher:
Total Pages: 19
Release: 2015
Genre:
ISBN:

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The main objective of this paper is to investigate the international linkages among local, country-specific stock market factors in order to better understand the dependence structure of increasingly integrated world financial markets. The seeming discordance between Fama and French (1998) and Griffin (2002) regarding the multi-factor model in the international stock markets motivates us to study the international relationship among local factors. With the individual stock data from the six major developed countries in the international stock market, we compose daily returns to the Fama-French three factors (i.e. market, size, and value) and the momentum factor over the period from January 2000 to June 2010. We investigate the international linkages among local stock market factors, focusing on their equilibrium relationship in the integrated world financial market. The cointegration analysis indicates that local factor indices, constructed from the cumulative factor returns, are cointegrated for each of the four factor classes. Thus, we conclude that local factors are globally bound to each other through a long-run equilibrium relationship and that although stock market factors may be local, rather than global, individual stock returns are driven by common global stochastic trends.


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

Long Run Relationship Between Aggregate Stock Prices and Macroeconomic Factors in BRICS Stock Markets
Author: Vanita Tripathi
Publisher:
Total Pages: 29
Release: 2016
Genre:
ISBN:

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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.


Stock Market Equilibrium and Macroeconomic Fundamentals

Stock Market Equilibrium and Macroeconomic Fundamentals
Author: Mr.Lamin Leigh
Publisher: International Monetary Fund
Total Pages: 42
Release: 1997-01-01
Genre: Business & Economics
ISBN: 1451843224

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This paper examines the efficiency of the Stock Exchange of Singapore and the relationship between the stock market and the overall economy. Using a wide range of methods for testing market efficiency, the paper establishes that the Singapore stock market is both “weakly” and “semi-strongly” efficient in asset-pricing terms but not “strongly” efficient. Granger causality tests based on the efficiency test results indicate that developments in the stock market appear to be systematically related to the overall economy in Singapore and can thus serve as a leading indicator of its intertemporal behavior.


stock market development and long run growth

stock market development and long run growth
Author: Ross Levine
Publisher: World Bank Publications
Total Pages: 32
Release: 1996
Genre: Aumentoa de la produccion
ISBN: 6101919153

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Long-Run and Short-Run Relationship Between Macroeconomic Factors and Returns on Sectoral Indices in Saudi Arabia

Long-Run and Short-Run Relationship Between Macroeconomic Factors and Returns on Sectoral Indices in Saudi Arabia
Author: Lakshmi Kalyanaraman
Publisher:
Total Pages: 12
Release: 2015
Genre:
ISBN:

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The study analyses the relationship between the select macroeconomic variables, inflation, industrial production, money supply, exchange rate, oil prices and global stock prices on the returns of the 15 sectors listed on Saudi stock market. The study applies cointegration technique and finds that there exists at least one cointegration vector between the chosen macroeconomic variables and the sector indices. Error correction model and Wald test to check the long-run and short-run causality relationship between the macroeconomic variables and sectoral stock indices. Results show that the effect of the macroeconomic variables on the returns of the various sectors is varied. The speed of adjustment of the system in case of short run deviations from the long run equilibrium is also found to be different for the various sectors. This study offers important inputs for investment decision making for the investors in the specific sectors of the Saudi stock market.


Deep Learning Tools for Predicting Stock Market Movements

Deep Learning Tools for Predicting Stock Market Movements
Author: Renuka Sharma
Publisher: John Wiley & Sons
Total Pages: 358
Release: 2024-04-10
Genre: Computers
ISBN: 1394214316

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DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.


A Study on Dynamic Relationship Between Macroeconomic Variables and Stock Markets in the United States, Germany, and Hong Kong

A Study on Dynamic Relationship Between Macroeconomic Variables and Stock Markets in the United States, Germany, and Hong Kong
Author: Taibo Mu
Publisher:
Total Pages: 53
Release: 2016
Genre:
ISBN:

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This empirical study investigates the relationship between selected macroeconomic variables and the stock markets in the US, Germany, and Hong Kong. The seven chosen macroeconomic variables are interest rate, inflation, oil price, unemployment rate, industrial production index, money supply, and exchange rate. In this study, Pearson's correlation, unit root tests, Granger causality test, Johansen cointegration test, and regression model are used to identify how these macroeconomic variables impact on S&P500 in the United States, DAX 30 in Germany, and Hang Seng Index in Hong Kong with the monthly series for a period of 18 years from July 1997 to July 2015. The empirical results show that there are short-term causal relationships and long-term equilibrium relationships between macroeconomic variables and the stock markets in these three countries.


Complexity in Economic and Social Systems

Complexity in Economic and Social Systems
Author: Stanisław Drożdż
Publisher: MDPI
Total Pages: 534
Release: 2021-05-11
Genre: Business & Economics
ISBN: 3036507949

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There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.