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1 – 10 of over 50000The purpose of this paper is to examine the relation between gold return and stock market return and whether its relation changes in times of consecutive negative market returns…
Abstract
Purpose
The purpose of this paper is to examine the relation between gold return and stock market return and whether its relation changes in times of consecutive negative market returns for an emerging market, Malaysia.
Design/methodology/approach
The paper applies the autoregressive distributed model to link gold returns to stock returns with TGARCH/EGARCH error specification using daily data from August 1, 2001 to March 31, 2010, a total of 2,261 observations.
Findings
A significant positive but low correlation is found between gold and once‐lagged stock returns. Moreover, consecutive negative market returns do not seem to intensify the co‐movement between the gold and stock markets as normally documented among national stock markets in times of financial turbulences. Indeed, there is some evidence that the gold market surges when faced with consecutive market declines.
Practical implications
Based on these results, there are potential benefits of gold investment during periods of stock market slumps. The findings should prove useful for designing financial investment portfolios.
Originality/value
The paper evaluates the role of gold from a domestic perspective, which should be more relevant to domestic investors in guarding against recurring heightened stock market risk.
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The aim of this paper is to examine the relationship between weather (temperature) and stock market returns using daily data from Portugal; also, to examine whether the…
Abstract
Purpose
The aim of this paper is to examine the relationship between weather (temperature) and stock market returns using daily data from Portugal; also, to examine whether the temperature is driven by calendar‐related anomalies such as the January and trading month effects.
Design/methodology/approach
Daily financial and weather data from Lisbon Stock Exchange (PSI 20 index) and Lisbon capital for the period 1995‐2007 are considered. The paper employs an AR(1)‐TGARCH(1,1) model under several distributional assumptions (Normal, Student's‐t and GED) for the errors.
Findings
Empirical results show that temperature affects negatively the PSI20 stock returns in Portugal. Moreover, temperature is dependent of both January and trading month effects. Stock returns were found to be positive in January and higher over the first fortnight of the month. Lower temperature in January leads to higher stock returns due to investors' aggressive risk taking.
Research limitations/implications
Further research should investigate the impact of other meteorological variables (humidity, amount of sunshine) and other calendar anomalies on the course and behaviour of major international stock indices using data before and after the recent crisis.
Practical implications
The findings are helpful to financial managers, investors and traders dealing with the Portuguese stock market.
Originality/value
The contribution of this paper is to provide evidence on the empirical linkages between temperature and stock market returns using GARCH models. To better understand the relationship between the temperature and stock market returns, the paper also examines whether the returns are higher in winter (January effect) and during the first or second fortnight of the month (trading month effect). To the best of the author's knowledge, this is the first empirical investigation on weather and stock market returns relationship for Portugal.
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The purpose of this paper is to investigate the spillover effect of the US macroeconomic news on the first two moments of the Vietnamese stock market returns.
Abstract
Purpose
The purpose of this paper is to investigate the spillover effect of the US macroeconomic news on the first two moments of the Vietnamese stock market returns.
Design/methodology/approach
The author collected market expectation and actual announcements data for 12 key US macroeconomic announcements for the period from August 2000 to September 2009 from Bloomberg. The dataset consists of monthly Non‐farm payroll (NFPM), Unemployment level (UNEMP), Gross Domestic Product percentage level (GDP), Housing statistics (HOMEST), Industrial production (INDP), Leading Indicator (LEAD), Retail Sales (SALES), Consumer Price Index (CPI), Producer Index (PPI), Current Account (CA, quarterly), Trade Balance (BOT), and the Federal Reserve's target rates (FOMC, 8 times a year and ad hoc meetings if needed). The MA‐EGARCH (1,1) model is used for the empirical test of the US macroeconomic news spillover effects on the VNI index.
Findings
In general, the US real economic news has the strongest effect on the first two moments of the Vietnamese stock returns. This can be interpreted as evidence that Vietnamese market participants believe that the USA is targeting real economic activities other than other variables. It is also shown that even though the US stock market (proxied by S&P500 index) significantly affects the Vietnamese stock market returns, the spillover effect of the US macroeconomic news is still significant.
Research limitations/implications
The author does not explore further on the transmission channels of the spillover effects of the US news on the Vietnamese stock market, reserving this task for future research.
Originality/value
The paper contributes to the extant literature in several ways. First, to the author's knowledge, the current literature lacks empirical evidence for the impact of the US macroeconomic news on the first two moments of the Vietnamese stock markets. Given the growing integration between the two economies, evidenced by the fact that the USA is Vietnam's largest foreign direct investor and importer, the US macroeconomic news is very important, not only for Vietnamese policy makers but also for market participants. Furthermore, the choice of a small and open market with increasing exposure to the world economy and vulnerable to the US news (i.e. Vietnam) would help in reducing the problem of endogeneity bias in previous studies employing large economy pairs, as the US news might affect the Vietnamese stock market but not the reverse. Finally, previous studies tend to investigate the impact of macro news only on conditional returns. In this study, both conditional returns and the conditional variance of returns are modelled simultaneously in a time‐varying framework (MA‐GARCH) to better capture the impact of macroeconomic news on stock returns and stock market volatility.
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This paper examines the reaction of the Egyptian stock market to two substantial devaluations of the Egyptian pound (EGP) in 2022 and tests the informational efficiency of the…
Abstract
Purpose
This paper examines the reaction of the Egyptian stock market to two substantial devaluations of the Egyptian pound (EGP) in 2022 and tests the informational efficiency of the Egyptian market.
Design/methodology/approach
The paper uses the event study framework to analyze the significance and direction of abnormal returns of the leading index of the Egyptian stock market (EGX30) on and around the devaluation days. It employs both the constant mean model and the market model to estimate the normal returns of the EGX30. Additionally, the paper uses data on two equity indices, one global and one for emerging markets, as benchmarks for normal returns.
Findings
The paper finds that the Egyptian stock market experienced significant positive abnormal returns on the devaluation days of the EGP in March and October of 2022, indicating a positive market reaction to the devaluation. Furthermore, evidence suggests that the Egyptian market may not be informationally efficient as significant positive abnormal returns were observed two weeks before and two weeks after the devaluation day, suggesting news leaks and delayed reactions, respectively.
Originality/value
This study is the first to examine the impact of the recent two devaluations of the EGP in 2022 on the Egyptian stock market. It complements existing literature by analyzing the immediate market reaction to two consecutive devaluations in an African country. Furthermore, the paper evaluates the efficiency of the Egyptian market in processing information related to exchange rates.
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Thi Thanh Xuan Pham and Thi Thanh Trang Chu
This study undertakes a comprehensive investigation into the far-reaching repercussions of Covid-19 stimulus packages and containment policies on stock returns, meticulously…
Abstract
Purpose
This study undertakes a comprehensive investigation into the far-reaching repercussions of Covid-19 stimulus packages and containment policies on stock returns, meticulously examining a diverse array of 14 distinct markets.
Design/methodology/approach
This study employed the Panel SVAR model to analyze the relationships between various policies and stock market performance during the Covid-19 outbreak. The sample comprises 5432 daily observations spanning from December 2020 to January 2022 for the 14 selected markets, with missing data excluded.
Findings
The findings reveal three consistent impacts across all 14 markets. Firstly, stock returns immediately reversed and decreased within a day when Governments tightened containment policies. Secondly, economic stimulus packages led to a fall in stock returns. Thirdly, an increasing death rate caused the stock return to decrease in the following two days. These findings are supported by the uniform impulse responses in all three shocks, including common, composite and idiosyncratic shocks. Furthermore, all inverse root tests satisfy the stability conditions, indicating the stability and reliability of Panel SVAR estimations.
Practical implications
One vital implication is that all government decisions and measures taken against the shock of Covid-19 must consider economic impacts to avoid unnecessary financial losses and support the effective functioning of stock markets during similar shocks. Secondly, investors should view the decline in stock returns due to Covid-19 effects as temporary, resulting from anxiety about the outbreak. The study highlights the importance of monitoring the impact of policies on financial markets and the broader economy during crises. Overall, these insights can prove helpful for investment decisions and policymaking during future crises.
Originality/value
This study constitutes a noteworthy addition to the literature on behavioural finance and the efficient market hypothesis, offering a meticulous analysis of the multifaceted repercussions of Covid-19 on market interactions. In particular, it unveils the magnitude, duration and intricate patterns of market volatilities linked to significant shock events, encompassing a comprehensive dataset spanning 14 distinct markets.
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This paper investigates the generalized Fisher hypothesis for nine equity markets in the Asian countries. It states that the real rates of return on common stocks and the expected…
Abstract
This paper investigates the generalized Fisher hypothesis for nine equity markets in the Asian countries. It states that the real rates of return on common stocks and the expected inflation rate are independent and that nominal stock returns vary in a one‐to‐one correspondence with the expected inflation rate. The regression results indicate that stock returns in general are negatively correlated to both expected and unexpected inflation, and that common stocks provide a poor hedge against inflation. However, the results of the VAR model indicate the lack of a unidirectional causality between stock returns and inflation. It also fails to find a consistent negative response neither of inflation to shocks in stock returns nor of stock returns to shocks in inflation in all countries. It appears that the generalized Fisher hypothesis in the Asian markets is as puzzling as in the developed markets.
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Thomas C. Chiang and Xiaoyu Chen
This study presents evidence on the relations of stock market performance and industrial production growth for a group of 20 industrial markets. Evidence supports the notion that…
Abstract
This study presents evidence on the relations of stock market performance and industrial production growth for a group of 20 industrial markets. Evidence supports the notion that an increase in stock returns or a rise in the market value of stocks contributes positively to industrial production growth. Evidence suggests that stock market risk has a significantly negative effect on production growth for advanced markets. The Granger test finds a unidirectional causality running from stock returns or stock volatility to industrial growth. However, the United States shows a bilateral causality between stock volatility and industrial production growth.
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This paper aims to investigate the impact of banning cryptocurrencies on stock markets.
Abstract
Purpose
This paper aims to investigate the impact of banning cryptocurrencies on stock markets.
Design/methodology/approach
The paper uses an event study approach and data from stock market indices in nine countries that imposed a ban. It uses the constant mean model and the market model, with two different benchmarks for global returns, to analyze if any of the stock indices show abnormal returns on or around the announcement of a cryptocurrency ban.
Findings
The analysis shows that banning cryptocurrencies did not affect the returns of stock markets in any of the countries studied, indicating that the cryptocurrency market and stock markets are decoupled from each other, or the ban was not effectively implemented.
Originality/value
To the best of the author’s knowledge, this paper is the first to explore the potential spillover effect of a cryptocurrency ban on stock markets. It also bridges two strands of literature: the relationship between cryptocurrencies and traditional assets, and the impact of cryptocurrency regulation on their returns.
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Quang-Ngoc Nguyen, Thomas A. Fetherston and Jonathan A. Batten
This paper explores the relationship between size, book-to-market, beta, and expected stock returns in the U.S. Information Technology sector over the July 1990–June 2001 period…
Abstract
This paper explores the relationship between size, book-to-market, beta, and expected stock returns in the U.S. Information Technology sector over the July 1990–June 2001 period. Two models, the multivariate model and the three-factor model, are employed to test these relationships. The risk-return tests confirm the relationship between size, book-to-market, beta and stock returns in IT stocks is different from that in other non-financial stocks. However, the sub-period results (the periods before and after the technology crash in April 2000) show that the nature of the relationship between stock returns, size, book-to-market, and market factors, or the magnitude of the size, book-to-market, and market premiums, is on average unchanged for both sub-periods. This result suggests the technology stock crash in April 2000 was not a correction of stock prices.
This chapter simultaneously investigates the most important calendar anomalies in stock returns: day of the week, turn of the month, turn of the year and holiday periods, in four…
Abstract
This chapter simultaneously investigates the most important calendar anomalies in stock returns: day of the week, turn of the month, turn of the year and holiday periods, in four of the most important Latin American stock markets: Argentina, Brazil, Mexico and Chile. Previous evidence available for these countries is very limited. Our results indicate that the three markets show a rather similar pattern regarding return seasonality. A day of the week effect, consisting in negative returns on Mondays, is reported for all the stock markets but the Mexican. The turn of the year effect is observed only in Argentina, and moderate holiday and turn of the month effects are reported in the Brazilian and the Mexican markets, respectively. In addition, significant levels of first-order return autocorrelation are reported for the four stock markets. The contemporary financial crisis has dramatically affected the behaviour of stock prices worldwide, causing, among other effects, a huge increase in price volatility and probably changing the behaviour of participants in financial markets. We have also investigated to what extent our results have been affected by the current abnormal situation.
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