Long-Run Inflation and Exchange Rates Hedge of Stocks in Brazil and Mexico

2006 ◽  
Vol 6 (3) ◽  
pp. 1850093 ◽  
Author(s):  
Edgar Ortiz ◽  
Alejandra Cabello ◽  
Raúl de Jesús

A substantial body of evidence documents the relationship between macroeconomic variables and stock returns and risk from developed countries. The evidence for emerging markets is limited, particularly identifying risk premia compensations for inflation and exchange rates. This paper attempts to quantify the short and long term relationship between inflation and exchange rates with over all stock market performance for the case of the two largest Latin American capital markets, Mexico and Brazil. Extending the Fisher model, the aim is to determine whether or not these markets have failed to keep pace with movements in those two variables (the most unstable and economic growth hampering variables in these economies during the last three decades), and therefore to what extent the stock market succeeds or fails to test as inflation hedges. The empirical evidence is presented assuming positioning of a local investor in their own market, and from the point of view of a U.S. investor in each of these markets. Two unit root tests are also presented to stress long term relationships between stock returns, inflation, and foreign exchange.

2020 ◽  
Vol 3 (348) ◽  
pp. 65-89
Author(s):  
Piotr Pietraszewski

The paper discusses the links between stock market performance and real economic activity and presents results of an empirical inquiry into dynamic relationships between the main stock index quoted on the Warsaw Stock Exchange (WIG) and GDP in Poland over the years 1995–2019. In many empirical studies for highly developed countries not only short‑run dynamic interactions but also a long‑run cointegrating relationship between the stock index and output have been found. Previous studies for Poland reported mainly short‑run linkages between stock returns and changes of economic activity whereas the evidence for a long‑run cointegrating relationship is still quite scarce. In this paper, the VAR‑VECM methodology with the Johansen tests for cointegration is used to study a substantially longer quarterly data interval than has been investigated so far. Research results show that stock returns Granger‑cause GDP growth with up to three‑quarters lead. The evidence for the existence of a long‑term cointegrating relationship has also been found.


2019 ◽  
Vol 12 (4) ◽  
pp. 464-480
Author(s):  
Tariq Aziz ◽  
Valeed Ahmad Ansari ◽  
Mahfooz Alam

Purpose The purpose of this paper is to investigate the stock market performance of companies featured in the survey “Best Companies to Work For” as a proxy for corporate culture. Design/methodology/approach The authors employed the portfolio formation and event study methods from finance to examine the linkage between corporate culture and future stocks returns. The lists of India’s best place to work for by Great Place to Work® Institute and Business Today (BT), India’s leading business magazine, form the primary surrogate for a great corporate culture. The authors compared the stock market performance of the culture portfolio vis-à-vis market index, in addition to using Carhart’s (1997) four-factor model. Findings A portfolio of Indian firms that featured in the “Best Companies to Work For” by Great Place to Work© Institute and BT magazine provides a higher return than the market index Sensex both on an ordinary return and on a risk-adjusted basis. The four-factor αs of the value-weighted culture portfolios are significant, implying that these portfolios have provided abnormal returns during the sample period. Moreover, the findings suggest a positive drift in the abnormal returns after inclusion in the “Best Companies to Work For” list. Research limitations/implications The results are largely in conformity with the prediction of the theory that states that corporate culture is an economic asset for a firm that increases its value. Practical implications From an investor’s point of view, the study indicates that investment in “Best Companies to Work For” is a better alternative than passive index investing. Originality/value This study fills the empirical void in the relationship between corporate culture and stock market performance in the Indian context.


2020 ◽  
Vol 25 (50) ◽  
pp. 395-412
Author(s):  
Mourad Mroua ◽  
Lotfi Trabelsi

Purpose This paper aims to investigate simultaneously the causality and the dynamic links between exchange rates and stock market indices. It attempts to identify the short- and long-term effect of the US dollar on major stock market indices of Brazil, Russia, India, China and South-Africa (BRICS) nations. Design/methodology/approach This paper applies a new methodology combining the panel generalized method of moments model and the panel auto-regressive distributed lag (ARDL) method to investigate the existence of a causal short-/long-run relationships and dynamic dependence among all stock market returns and exchanges rates changes of BRICS countries. Findings Results show that exchange rate changes have a significant effect on the past and the current volatility of the BRICS stock indices. Besides, ARDL estimations reveal that exchange rate movements have a significant effect on short- and long-term stocks market indices of all BRICS countries Originality/value The findings have implications for policymakers and market participants who try to manage the exchange rate will have a different dose of intervention if they know that the effects of currency depreciation are different than appreciation. These results have important implications that investors should take into account in frequency-varying exchange rates and stock returns and regulators should consider developing sound policy measures to prevent financial risk.


2018 ◽  
Vol 19 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Chung BAEK ◽  
Ingyu LEE

Our study investigates structural changes in the market P/E ratio and shows how structural changes affect long-term stock market returns. Using the cumulative sum control chart and the Bai-Perron algorithm, we identify multiple structural breakpoints in the market P/E ratio and find that those structural changes are significantly perceived over the long run. Unlike previous studies that do not consider structural changes, our study is the first one that shows how structural changes asymmetrically influence long-term stock returns depending on the high or low P/E period. This implies that structural changes in the market P/E ratio play an important role in explaining long-term stock returns. We propose that structural changes should be taken into account in some manner to establish the relationship between P/E ratios and long-term stock returns.


Author(s):  
Afef TRABELSI MNIF

In this paper, we focus on the impact of financial liberalization on stability of emerging stock market. We identify crises in a group of Latin American (Argentina, Brazil and Chile) and Asian countries (Philippines, Korea, Taiwan and Thailand) during 1975–2005. This paper aims to apply the methodology of CMAX method. Our results indicate that liberalization triggers more unstable stock market in the short run and generate several crises. Still, liberalization seems to generate more stable financial markets in the long run. Financial liberalization does not increase the frequency of crises in emerging countries and at long-term, crises are less several.


INFO ARTHA ◽  
2017 ◽  
Vol 1 ◽  
pp. 17-28
Author(s):  
Anisa Fahmi

Motivated by inter-regional disparities condition that occurs persistently, this study examines the Indonesian economy in the long run in order to know whether it tends to converge or diverge. This convergence is based on the Solow Neoclassical growth theory assuming the existence of diminishing returns to capital so that when the developed countries reach steady state conditions, developing countries will continuously grow up to 'catch-up' with developed countries. Based on regional economics perspective, each region can not be treated as a stand-alone unit,therefore, this study also focuses on the influence of spatial dependency and infrastructure. Economical and political situations of a region will influence policy in that region which will also have an impact to the neighboring regions. The estimation results of spatial cross-regressive model using fixed effect method consistently confirmed that the Indonesian economy in the long term will likely converge with a speed of 8.08 percent per year. Other findings are road infrastructure has a positive effect on economic growth and investment and road infrastructure are spatially showed a positive effect on economic growth. In other words, the investment and infrastructure of a region does not only affect the economic growth of that region but also to the economy of the contiguous regions. 


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1411
Author(s):  
Xiaqing Su ◽  
Zhe Liu

Following generalized variance decomposition, we identify the transmission structure of financial shock among ten sectors in China. Then, we examine whether economic policy uncertainty (EPU) affects it through GARCH-MIDAS regression. We find that consumer discretionary, industrials, and materials sectors are systemically important industries during the sample period. Further research of dynamic analysis shows that each sector acts in a time-varying role in this structure. The results of the GARCH-MIDAS regression indicate that none of the selected EPU indexes has a significant long-term impact on the total volatility spillover of the inter-sector stock market in China. However, the EPUs do affect some sectors’ spillover indexes in the long run, and they are significantly heterogeneous. This paper can provide regulatory suggestions for policymakers and reasonable asset allocation and risk avoidance methods for investors.


1998 ◽  
Vol 2 (1) ◽  
pp. 33-38 ◽  
Author(s):  
John C. Anyanwu

Is the stock market development important for economic growth in Nigeria? One line of research argues that it is not; another line stresses the importance of stock market development in allocating capital, acquisition of information about firms, easing risk management, mobilization of savings, and exerting corporate control. Indeed, some theories provide a conceptual framework for the belief that larger, more efficient stock markets boost economic growth. This article examines whether there is a strong empirical association between Nigerian stock market development and long-run economic growth. Our empirical results suggest that the Nigerian stock market development is positively and strongly associated with long-term economic growth. This implies that Nigerian policymakers should make concerted efforts at removing obstacles to stock market development while creating and sustaining an enabling macroeconomic and political environment for the market’s development.


2016 ◽  
Vol 8 (5) ◽  
pp. 260 ◽  
Author(s):  
Fang Fang ◽  
Weijia Dong ◽  
Xin Lv

This paper investigates how China’s stock market reacts to short-term interest rates, as represented by the Shanghai Interbank Offered Rate (Shibor). We adopt the Markov Regime Switching model to divide China’s stock market into Medium, Bull and Bear market; and then examine how Shibor influences market returns and risk in different market regimes. We find that short-term interest rates have a significant negative effect on stock returns in Medium and Bull market, but could not affect stock returns in Bear market. In addition, different maturities of Shibor have different effects on stock returns. Furthermore, we find that the short-term interest rates have a negative effect on market risk in Bull market, but a positive effect in Bear market. Our findings show that China’s market is quite peculiar and distinctive from the U.S. market or other developed countries’ markets in many ways.


2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.


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