scholarly journals Factors driving IPO variability: evidence from Pakistan stock exchange

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Chui Zi Ong ◽  
Yasir Abdullah Abbas
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Stock Market ◽  
Direct Investment ◽  
Gdp Growth ◽  
Stock Market Index ◽  
Treasury Bill ◽  
Content Type ◽  
Market Index ◽  
Gdp Growth Rate

PurposeThe objectives of this study are twofold. First, it intends to investigate the symmetric link between initial public offering (IPO) variability and the determinants of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment. Second, this study intends to examine the asymmetric link between IPO variability and the aforementioned determinants, namely the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment.Design/methodology/approachData from 1992 to 2018 were gathered from the country of Pakistan in order to achieve the above objectives. Augmented Dickey–Fuller (ADF) and Phillips Perron (PP) unit root tests were employed to determine the data's stationarity properties. The Auto Regressive Distributive Lags (ARDL) model was utilized to examine the symmetric links, and the Non-Linear Auto Regressive Distributive Lag Model (NARDL) was employed to determine the asymmetric links. While the long-run co-integration was examined using the ARDL bound test, the short-run dynamics were tested using the error correction method (ECM).FindingsThe macroeconomic variables of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment are found to pose significant short-run and long-run symmetric and asymmetric effects on IPO variability. These results indicate the significance of the aforementioned variables in enhancing IPO variability. The findings also demonstrate the typical reactions of inflation, GDP and FDI towards negative and positive shocks in IPO variability and inflation. This evidence implies that Pakistan's poor capital market development is reflected in the country's weak macroeconomic factors. At the same time, the reduced IPO variability in the country also reflects the lack of confidence among prospective issuers and investors due to Pakistan's weak macroeconomic indicators.Originality/valueThis is the first study of its kind to properly investigate the symmetric and asymmetric effects of the macroeconomic variables on Pakistan's IPO variability.

scholarly journals FOREIGN DIRECT INVESTMENT AND EXPORT PERFORMANCE OF THE PAKISTAN COINTEGRATION AND CAUSALITY APPORACH

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdur Rahman Aleemi ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Export Performance ◽  
Gdp Growth ◽  
Local Market ◽  
Long Run ◽  
Gdp Growth Rate

FDI is a bridge between the world markets and local market and works as a way to increase the capabilities of the host country through investments that help in transfer of technology and creation of employment opportunities. The aim of this paper was to investigate the nexus of Foreign Direct Investment and the Export performance in the economic settings of Pakistan along in the presence of explanatory variables, based on well-established economic theory and long standing relationships. Supplementing the variables into a linear regression model, tested under the OLS and checked for the assumptions of normally and identically distributed errors, it was found that exports are positively affected by FDI and CPI whereas negatively affected by the interest rates in the case of Pakistan. Furthermore the long run relationship between the variables has been tested under the Johensen Cointegration test, which suggest that a long run relationship exist between the variables. Finally the direction of causality has been investigated with the help of Granger Causality test, indicating a bidirectional causality between CPI and interest rate, exports and interest rate, unidirectional causality from exports to CPI, CPI to GDP growth rate, interest rate to GDP growth rate, exports to FDI and exports to GDP growth rate.

scholarly journals FOREIGN DIRECT INVESTMENT AND EXPORT PERFORMANCE OF THE PAKISTAN COINTEGRATION AND CAUSALITY APPORACH

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdur Rahman Aleemi ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Export Performance ◽  
Gdp Growth ◽  
Local Market ◽  
Long Run ◽  
Gdp Growth Rate

FDI is a bridge between the world markets and local market and works as a way to increase the capabilities of the host country through investments that help in transfer of technology and creation of employment opportunities. The aim of this paper was to investigate the nexus of Foreign Direct Investment and the Export performance in the economic settings of Pakistan along in the presence of explanatory variables, based on well-established economic theory and long standing relationships. Supplementing the variables into a linear regression model, tested under the OLS and checked for the assumptions of normally and identically distributed errors, it was found that exports are positively affected by FDI and CPI whereas negatively affected by the interest rates in the case of Pakistan. Furthermore the long run relationship between the variables has been tested under the Johensen Cointegration test, which suggest that a long run relationship exist between the variables. Finally the direction of causality has been investigated with the help of Granger Causality test, indicating a bidirectional causality between CPI and interest rate, exports and interest rate, unidirectional causality from exports to CPI, CPI to GDP growth rate, interest rate to GDP growth rate, exports to FDI and exports to GDP growth rate.

scholarly journals Domestic Investment, Foreign Direct Investment and Macroeconomic Stability in Nigeria

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Saliu Mojeed Olanrewaju ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Direct Investment ◽  
Inflation Rate ◽  
Oil Price ◽  
Gdp Growth ◽  
Domestic Investment ◽  
Real Gdp ◽  
Gdp Growth Rate

This study examines the relationship between the two major investment components (domestic investment and foreign direct investment) and macroeconomic stability in Nigeria. In order to capture the macroeconomic stability, some selected macroeconomic variables are presented, namely: real GDP growth rate (RGDPgr), trade openness (TOP), exchange rate (EXR), inflation rate (INFR), interest rate (INTR), private sector credit (PSC) which represent domestic variables and world oil price (WOP) which represent foreign variable. The study employs Johansen cointegration and Vector Autoregressive model as the estimation techniques. Findings from the study reveals that there is no long-run relationship between the selected macroeconomic variables and the two investment variables. The study also reveals that shocks and fluctuations from real GDP growth rate (RGDPgr), private sector credit (PSC), inflation rate (INFR), interest rate (INTR), exchange rate (EXR) and world oil price (WOP) strongly and significantly affect domestic investment in Nigeria; while the shocks and instabilities arising from real GDP growth rate (RGDPgr), inflation rate (INFR), interest rate (INTR), exchange rate (EXR), trade openness (TOP) and world oil price (WOP) majorly and significantly affect foreign direct investment in Nigeria during the period under review. The study therefore recommends that Nigerian government should provide stability measures in all the aforementioned macroeconomic indicators, as this will attract a higher level of FDI and this will create an enabling business environment for domestic investment to operate.

Linkages between cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles

2016 ◽  
Vol 9 (2) ◽  
pp. 123-146 ◽  
Author(s):  
Kim Hiang Liow
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Business Cycles ◽  
Spillover Effects ◽  
Real Estate Market ◽  
Stock Market Index ◽  
Content Type ◽  
Market Index ◽  
Cross Country ◽  
The Cross

Purpose This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014. Design/methodology/approach The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology. Findings There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered. Research limitations/implications The research is subject to the usual limitations concerning empirical research. Practical implications This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors. Originality/value In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.

Applying the Fama and French three-factor model to analyze risk/reward in the Spanish REITs: an ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhenyu Su ◽  
Paloma Taltavull
Keyword(s):  
Growth Rate ◽  
Factor Model ◽  
Explanatory Power ◽  
Gdp Growth ◽  
Size Factor ◽  
Content Type ◽  
Gdp Growth Rate ◽  
Fama And French ◽  
Three Factor

Purpose This paper aims to analyse the risk and excess returns of the Spanish real estate investment trusts (S-REITs) using various methods, though focusing primarily on the Fama-French three-factor (FF3) model, over the period from 2007Q3 to 2017Q2. Design/methodology/approach The autoregressive distributed lag model is used for the empirical analysis to test long-term stable relationships between variables. Findings The findings indicate that the FF3 model is suitable for the S-REITs market, better explaining the S-REITs’ returns variation than the traditional single-index capital asset pricing model (CAPM) and the Carhart four-factor model. The empirical evidence is reasonably consistent with the FF3 model; the values for the market, size and value are highly statistically significant over the analysis period, with 68.7% variation in S-REITs’ returns explained by the model. In the long run, the market factor has less explanatory power than the size and value factors; the positive long-term multiplier of the size factor indicates that small S-REIT companies have higher returns, along with higher risk, while the negative multiplier of the value indicator suggests that S-REITs portfolios prefer to allocate growth REITs with low book-to-market ratios. The empirical findings from a modified FF3 model, which additionally incorporates Spain’s gross domestic product (GDP) growth rate, two consumer price index (CPI) macro-factors and three dummy variables, indicates that GDP growth rate and CPI also affect S-REITs’ yields, while investment funds with capital calls have a small influence on S-REITs’ returns. Practical implications The regression results of the standard and extended FF3 model can help researchers understand S-REITs’ risk and return through a general stock pattern. Potential investors are given more information to consider the new Spanish investment vehicle before making a decision. Originality/value The paper uses standard techniques but applies them for the first time to the S-REIT market.

scholarly journals The nexus between stock market index and apartment and villa prices

2017 ◽  
Vol 10 (3) ◽  
pp. 450-467 ◽  
Author(s):  
Peter Öhman ◽  
Darush Yazdanfar
Keyword(s):  
Stock Market ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Causal Link ◽  
Stock Market Index ◽  
Monthly Data ◽  
Content Type ◽  
Market Index ◽  
Long Run ◽  
Causality Tests

Purpose The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices. Design/methodology/approach Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden. Findings The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks. Originality/value To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.

scholarly journals Impacts of Macroeconomic Variables on the Stock Market Returns of South Asian Region

2020 ◽  
pp. 24-34 ◽  
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Foreign Currency ◽  
Currency Reserve ◽  
Gdp Growth ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gdp Growth Rate

This paper is intended to find out whether macroeconomic variables may impact on the stock market as well as whether such impact has any country specific pattern. The stock market return was taken as the dependent variable and real interest rate, inflation rate, GDP growth rate, foreign currency reserve growth rate, fiscal deficit, FDI to GDP ratio, exchange rate were taken as independent variables. Data-set was covered from 1993 to 2019 for five South Asian countries which were Bangladesh, India, Pakistan, Sri Lanka, and Nepal. The pattern of the stock market, as well as macro conditions of these countries, was observed and it was found that some relationships exist between the stock market returns and these chosen independent variables. Unit root test, Heteroscedasticty test, autocorrelation test, Hausman test is conducted to authenticate and clarified data to investigate relationship nature. Granger Casualty test indicated that there exist cause and effect relationship between GDP growth rate, exchange rate, and stock market returns. Finally, the regression test reveals that the inflation rate and foreign currency reserve growth rate have a significant impact on the stock market returns. It was expected to have the unique nature of different countries having versatile impact on dependent, so additionally fixed effects model and random effects model were run and it was found that the random effects model is statistically appropriate through conducting the Hausman test. The test reveals that GDP growth rate, foreign currency reserve growth rate, and fiscal deficit positively impact the stock market returns and these also support the literature review. Interest rates, inflation rate, FDI to GDP ratio, and exchange rate have negatively impacted the stock market return where only interest rate, inflation rate & exchange rate.

scholarly journals Cash management and performance of index mutual funds

2020 ◽  
Vol 33 (3/4) ◽  
pp. 549-565
Author(s):  
Diego Víctor de Mingo-López ◽  
Juan Carlos Matallín-Sáez ◽  
Amparo Soler-Domínguez
Keyword(s):  
Stock Market ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Fund Performance ◽  
Cash Management ◽  
Stock Market Index ◽  
Index Funds ◽  
Content Type ◽  
Market Index ◽  
And Performance

PurposeThis study aims to assess the relationship between cash management and fund performance in index fund portfolios.Design/methodology/approachUsing a sample of 104 index mutual funds that track the Standard and Poor 500 stock market index from January 1999 to December 2016, the authors employ quintile portfolios and different regression models to assess the differences in risk-adjusted monthly returns experienced by index funds managing different cash levels in their portfolios. To ensure the robustness of the results, different sub-periods and market states are considered in the analyses as well as other exogenous factors and fund characteristics affecting the level of portfolio cash holdings and index fund performance.FindingsResults show that index funds holding higher levels of cash and cash equivalents performed significantly worse than their low-cash counterparts. This evidence remains even after considering different sub-periods and bullish and bearish market conditions and controlling for fund expenses and other variables that could drive this cash-performance relationship.Originality/valueThis study expands the extant literature analyzing cash management in the mutual fund industry. More specifically, the analyses focus on index fund portfolios that replicate a specific benchmark, given that their performance differences should not be related to the market evolution but to the factors derived from the fund management and other exogenous issues. These findings are of interest to managers and investors willing to improve their risk-adjusted returns while investing as diversified as a stock market index.

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