scholarly journals Co-integration Analysis Between International Macroeconomic Factors and S&P Sensex Movements

2019 ◽  
Vol 8 (11) ◽  
pp. 3849-3859 ◽  
Keyword(s):  
Growth Rate ◽  
Stock Market ◽  
Short Term ◽  
Macroeconomic Factors ◽  
Indian Economy ◽  
Investment Return ◽  
Long Run ◽  
Adf Test ◽  
Long Run Equilibrium

The Indian stock market is fizzy and energetic; it has been going through many economic reforms since liberalization Indian economy (LPG) 1991 to till date. The Indian economy follows free market economic system, which enhance the scope of investing into stock market. Hence it prevailing significance of international macroeconomic factor on Indian Sensex movements, the present paper has investigate the long term relation and short term dynamics between international macro economic factors Capital account to Gross Domestic Production ratio (CAPGDPR), Crude oil Return (CRUDEOILR), Foreign Direct Investment return (FDIR), Foreign Institution Investment return (FIIR), Foreign Exchange Reserves growth rate (FOREXRESR) Gold return (GOLDR) Net Current account growth rate i.e (Exports divided by Imports) (NCAR) US Dollar Exchange rate to Indian Rupee returns (USDEXR) to Sensex return (SENSEXR) . The Sensex returns and International macroeconomic factors long term and short term analyzed through time series econometric tools Augmented Dickey Fuller (ADF) test check the stationarity, Johansen co integration for investigate long term relationship, Error correction Model for identify the short term dynamics. It is found that the long term co integration exists between these select international macroeconomic variables. Whereas USDEXR and FOREXRESR leads Sensex R and Sensex R corrects faster towards long run equilibrium. On the other hand CAPGDPR, CRUDEOILR, FDIR, FIIR, GOLDR, NCAR coefficients found the weak form of co movement to adjust for long run equilibrium.

Dynamic Relationship Between Stock Market Sector Indices and Macroeconomic Variables in India

2019 ◽  
Vol 1 (2) ◽  
pp. 31-41
Author(s):  
Neeru Gupta ◽  
Ashish Kumar
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Positive Relationship ◽  
Short Term ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Market Sector ◽  
Long Run ◽  
Integration Test

This study investigates the long-term and short-term relationships between selected macroeconomic variables and the selected Indian stock market sector indices over the period of 2010 to 2017. The Johansen Co-integration Test, the Vector error correction model (VECM), is applied to calculate the long-term and short-term relationship between sector indices and macroeconomic variables. It is found that stock prices are exposed to macroeconomic factors, but the level of sensitivity is different in different sectors. Out of five sectors taken in the study, it is found that only the realty sector has long run relationship with macroeconomic variables. Other sectors have no long run relationship with macroeconomic variables. Along with this, it is also found that the Auto index has a significant short-term positive relationship with gold prices and the FMCG sector index has a significant short-term positive relationship with industrial production. The consumer price index and exchange rate have significant short run relationship with realty sector index.

ON THE CONSUMPTION/DISTRIBUTION THEOREM UNDER THE LONG-RUN GROWTH CRITERION SUBJECT TO A DRAWDOWN CONSTRAINT

2010 ◽  
Vol 13 (06) ◽  
pp. 931-957 ◽  
Author(s):  
MICHAEL J. KLASS ◽  
KRZYSZTOF NOWICKI
Keyword(s):  
Growth Rate ◽  
Short Term ◽  
Long Run ◽  
Time Period ◽  
Total Capital ◽  
Growth Criterion ◽  
Drawdown Constraint ◽  
Riskless Asset ◽  
Distribution Theorem

Consider any discrete time sequence of investment fortunes Fn which has a finite long-run growth rate [Formula: see text] when subject to the present value capital drawdown constraint Fne-rn ≥ λ* max 0≤k≤nFke-rk, where 0 ≤ λ* < 1, in the presence of a riskless asset affording a return of er dollars per time period per dollar invested. We show that money can be withdrawn for consumption from the invested capital without either reducing the long-run growth rate of such capital or violating the drawdown constraint for our capital sequence, while simultaneously increasing the amount of capital withdrawn for consumption at the identical long-term rate of V(r, λ*). We extend this result to an exponentially increasing number of consumption categories and discuss how additional yearly contributions can temporarily augment the total capital under management. In addition, we assess the short-term practicality of creating such an endowment/consumption/distribution program.

scholarly journals Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?

2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Oil Prices ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Adf Test

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.

Gold's Price and Advanced Stock Markets

2020 ◽  
pp. 143-156
Author(s):  
Nikolaos Stoupos ◽  
Apostolos Kiohos
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Financial Crises ◽  
Economic Recession ◽  
Safe Haven ◽  
Short Term ◽  
Long Run ◽  
Intraday Data ◽  
Global Investors

Traditionally, the gold has been approved as a safe-haven investment after the collapse of Breton Woods. The global investors especially prefer to rebalance their portfolios by purchasing gold or its derivatives during financial crises. This research explores realized dynamic linkages between gold and the advanced stock market indices, after the end of the 2008 economic recession. This chapter used the fractionally co-integrated ECM by utilizing intraday data from 2013 and thereafter. The empirical outcomes support that there is a negative-realized dynamics between the advanced stock markets and the gold's price in the short and in the long run. Specifically, the short-term dynamics of gold's price seems to be higher on the French and Japanese stock market indices. Lastly, the long-term dynamics of gold's price seems to be higher on the Dow Jones and the FTSE100.

scholarly journals Cointegration analysis of stock market index and exchange rate: The case of Serbian economy

2021 ◽  
pp. 59-71
Author(s):  
Milena Marjanović ◽  
Ivan Mihailović ◽  
Ognjen Dimitrijević
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Market Index ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
The Exchange Rate ◽  
Adf Test ◽  
Long Run Equilibrium

Since the late 90's, the existence and direction of causality between the capital market and foreign exchange market have attracted significant attention of theoretical and empirical researchers. This is because both of these financial variables have an indisputable role in the development of each country's economy. In this paper we use Johansen procedure and Granger causality test to examine the existence and direction of short-run and long-run dynamics between the leading stock market index BELEX15 and RSD/EUR exchange rate in Serbia. Using ADF test we find that both series are integrated of order one, and since the value of Johansen trace statistics confirmed the existence of cointegration, we have proceeded with estimation of the VECM model. According to our VECM model, the BELEX15 index adjusts to the long-run equilibrium relationship at a rate of 11.72% in each period, while the exchange rate adjusts to the long-run equilibrium relationship at a rate of 2.73%. We also find that there is unidirectional causality and that the market index influences the exchange rate movements in the short-run in terms of Granger.

scholarly journals Do select macroeconomic factors drive momentum returns?

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
A. Balakrishnan ◽  
Nirakar Barik
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Factor Model ◽  
Capital Asset Pricing ◽  
Short Term ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Asset Pricing Models ◽  
Indian Stock Market

AbstractIn this paper, we examine the presence of short-term and long-term momentum returns in Indian stock market. The study also tries to shed light on the power of asset pricing models and select macroeconomic variables in explaining momentum returns. The results confirm the presence of short-term and long-term momentum returns in Indian stock market. It is also found that Carhart four-factor model’s performance is relatively superior to other factor models such as one factor capital asset pricing model and Fama–French three-factor model in terms of capturing momentum returns. Finally, macroeconomic variables which are considered for analysis do not have any power to explain momentum returns.

scholarly journals Investment, Poverty and Growth Nexus in Pakistan: Empirical Evidence from ARDL Modeling Approach to Co-Integration

2020 ◽  
Vol 4 (1) ◽  
pp. 1-1
Author(s):  
Hina Ali ◽  
Imran Sharif
Keyword(s):  
Time Series Data ◽  
Driving Forces ◽  
Growth Effect ◽  
Series Data ◽  
Short Term ◽  
Modeling Approach ◽  
Long Run ◽  
Short Run ◽  
Adf Test

This study analyzes the nexus of investment, poverty and growth in Pakistan. It will develop comprehensive macro economic model of Pakistan economy with the desire of amplification and provided that a long-term result for the determined investment-poverty-growth discrepancy veterans. The significant level of investment and sustained economic growth may be the major driving forces for poverty decrease in Pakistan. The level of investment also assists the poor through a direct allocation influence as well as tortuous growth effect, in both the long run and short run. To detect the long term and short term effects of economic development, poverty and investment, an ARDL modeling approach to co- integration is functional, which is the suitable technique  in excess of method of integration after examining the stationary level of the data through ADF Test. The bound testing approach is exploited for cointegration to analyze the presence of long term association amid variables and ECM models are verbalized for short term analysis. The model is predictable with time-series data from 1972 to 2013 confine mutually the long-run and short-run forceful goods of the economy. The model is subjected to a sequence of strategy situation  that assesses a mixture of options for government to recover the prolific ability of the economy, thus attain continued hasten growth and a decrease in  Pakistan`s poverty. JEL Classification Codes: G12, G 14

scholarly journals THE SHORT-TERM AND LONG-TERM TRADE-OFF BETWEEN RISK AND RETURN: CHAOS VS RATIONALITY

2019 ◽  
Vol 21 (1) ◽  
pp. 23-43
Author(s):  
Chang Liu ◽  
Haoming Shi ◽  
Liang Wu ◽  
Min Guo
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Rank Test ◽  
Chinese Stock Market ◽  
Short Term ◽  
Risk And Return ◽  
Long Run ◽  
Short Run ◽  
A Share

This paper used the composite construction method proposed by Haugen (1999) and its application by Zhao and Wang (2010) for the Chinese stock market. Utilizing the Shanghai A-share market stocks data, this paper first selected the shares listed on the Shanghai Stock Exchange during January 1, 1997 to December 31, 2017. A portfolio was then built according to the mean variance model of portfolio structure, and simulation results were analysed using the Wilcoxon Signed Rank Test. The relationship between risk and return in the long and short term was explored. Results indicated no significant relationship between the risk and return of the stock portfolio in the short run, which reflects the complexity of the Chinese stock market. However, in the long run, the risk and return of the stock portfolios are positively correlated, which means that high returns are accompanied by high risks, indicating that the stock market will eventually return to rationality. In other words, the A-share stock market will eventually return to be value-driven and the short-term speculators would be outweighed by long-term value investors.

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

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