scholarly journals How Integrated are Regional Green Equity Markets? Evidence from a Cross-Quantilogram Approach

2021 ◽  
Vol 14 (1) ◽  
pp. 39
Author(s):  
Linh Pham

Rising concerns over climate change have increased investors’ and policymakers’ interests in environmentally friendly investments, which have led to the rapid expansion of the green equity market recently. Previous studies have focused on analyzing the green equity market at the aggregate level, thereby overlooking the heterogeneity across green equity sub-sectors. This paper contributes to the literature by investigating how interdependence between green equity markets and other financial assets varies across regions, market conditions, and investment horizons. To this end, the paper employs the recently developed cross-quantilogram framework, which measures the cross-quantile dependence across time series without any moment condition requirement. The results show that within the green equity market, movements in the U.S. market can predict movements in the Asian and European markets during all market conditions. In contrast, the Asian and European green equity markets only predict movements in the U.S. market during bearish periods. The paper also finds that regional green equity markets respond differently to movements in other financial assets, such as energy commodity and general stock returns. In addition, the interdependence among regional green equity and other assets varies across market conditions and investment horizons. These results have important implications for environmentally friendly investors and policymakers.

2013 ◽  
Vol 1 (13) ◽  
Author(s):  
Abidin Sazali ◽  
Azilawati Banchit ◽  
Yuewei Sun

This study examine the predictive power of Credit Default Swaps (CDS) and the equity markets on currency exchange rate to determine whether the CDS is a better predictor as compared to the equity markets. Data sets used for the study include the Investment Grade (IG) and High Yield (HY) North American CDS indices, and iTraxx Europe index as a representative of the overall credit market conditions in Europe. The Vanguard Total Bond Market Index is included to see if CDS spread is more powerful information container than the bond market. The S&P500 index is used as controller for the effects of the US equity market and the Vanguard European Stock Index for Europe. ASX200 and NZ50 are chosen to represent the equity market conditions in Australia and New Zealand respectively. The Vector Autoregressive (VAR) model is used to analyze the simultaneous relationships between exchange rates and CDS index spreads. Granger causality test is conducted to determine the causal relationship between currency values and CDS spreads. Variance Decomposition or Forecast error variance decomposition is also used to complement the VAR analysis. The VAR analysis investigates that CDS can better capture the information in the market than other investment instruments such as bond. CDS thus may offer arbitrage opportunities for investors. In addition significant Grange-causality effects were found from IG and HY CDS spreads to currencies, which support the CDS spreads as a leading indicator of the several currencies versus US Dollar even in the financial crisis. The results of variance decomposition indicate that the contribution of the CDS market to the currency market is higher in Australian dollar, implying more carry-trades in the market.


Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Thomas C. Chiang

This paper examines the efficient market hypothesis by applying monthly data for 15 international equity markets. With the exceptions of Canada and the U.S., the null for the absence of autocorrelations of stock returns is rejected for 13 out of 15 markets. The evidence also rejects the independence of market volatility correlations. The null for testing the absence of correlations between stock returns and lagged news measured by lagged economic policy uncertainty (EPU) is rejected for all markets under investigation. The evidence indicates that a change of lagged EPUs positively predicts conditional variance.


2000 ◽  
Vol 5 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Fazal Husain

An active area of investigation in finance literature is to explore the existence of a pattern in stock returns. A predictable pattern is evidence against market efficiency. Even if the pattern does not seem to affect the stock returns directly, it can provide useful clues to investors concerning their investment decision. One of the significant patterns identified is the day of the week effect which implies that stock returns are not distributed identically across the days. For example, in the U.S. capital market, rates of return on Mondays tend to be negative while those on Fridays tend to be high. Cross (1973), French (1980), Gibbons and Hess (1981), Keim and Stambagh (1984) and others consistently observed lowest returns on Mondays, termed as the ‘Monday effect’.


2007 ◽  
Vol 42 (4) ◽  
pp. 827-856 ◽  
Author(s):  
Yong Chen ◽  
Bing Liang

AbstractThis paper examines whether self-described market timing hedge funds have the ability to time the U.S. equity market. We propose a new measure for timing return and volatility jointly that relates fund returns to the squared Sharpe ratio of the market portfolio. Using a sample of 221 market timing funds during 1994–2005, we find evidence of timing ability at both the aggregate and fund levels. Timing ability appears relatively strong in bear and volatile market conditions. Our findings are robust to other explanations, including public information-based strategies, options trading, and illiquid holdings. Bootstrap analysis shows that the evidence is unlikely to be attributed to luck.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fouad Jamaani

PurposeThis paper uniquely aims to triangulate the effects of the COVID-19 pandemic, government financial intervention (GFI) policies and power distance (PD) culture on returns of equity indices during the COVID-19 epidemic in the world's equity markets.Design/methodology/approachThe research employs panel data regression analysis using 1,937 observations from 19 developed and 42 developing countries. The data employed contain daily registered COVID-19 cases, global equity market index prices, financial intervention policies introduced by governments and Hofstede's cultural dimension measure of PD.FindingsThe authors find that investors certainly react negatively to the number of confirmed COVID-19 cases reported, that GFI policies indeed reinforce investors' expectations of policymakers' dedication to stabilize the economy during the COVID-19 pandemic and that equity investors in high PD cultures overreact to GFI news, resulting in more positive stock returns. The authors discover a difference between developed and developing countries in terms of the effect of GFI policies and PD on equity returns.Research limitations/implicationsResults suggest that investors react negatively to the daily registered COVID-19 cases. The authors find that financial intervention policies introduced by governments reinforce investors' outlooks of policymakers' commitment to stabilize local stock markets during the coronavirus pandemic. The results confirm that equity market investors in PD cultures overreact to financial intervention news, thus resulting in more positive stock returns.Practical implicationsThe paper provides three original contributions. First, it helps us to understand the single effect of the COVID-19 and financial intervention policies introduced by governments on returns of the global equity market. Second, it examines the possibility of a two-way joint effect between the COVID-19 and financial intervention policies introduced by governments and the COVID-19 and differences in countries characterized by a PD culture concerning stock market returns. Third, it investigates the possibility of a three-way interaction effect between the COVID-19 contagion, financial intervention policies introduced by governments and culture on returns of equity markets.Originality/valueThe authors' findings are valuable to researchers, investors and policymakers. Culture and finance scholars can now observe the role of Brown et al.'s (1988) uncertain-information hypothesis with reference to the effect of the COVID-19 and financial interventions policies introduced by governments on returns of equity markets. This is because the authors' findings underline that since investors' uncertainty declines with daily registered numbers of COVID-19 cases, the introduction of GFI policies function as a neutralizing device to re-establish investors' expectations to equilibrium. Consequently, stock market returns follow a random walk that is free from the negative effect of the COVID-19. The authors' work is likely to advise equity investors and portfolio managers about the extent to which major exogenous economic events such the outbreak of global diseases, financial interventions policies introduced by governments and differences in countries' PD culture can individually and jointly influence the return of the world's equity markets. Investors and portfolio managers can employ the authors' results as a guideline to adjust their investment strategy based on their investment decision strategy during global pandemics. Policymakers aiming to introduce financial intervention policies to stabilize their stock market returns during global pandemics can benefit from our results. They can observe the full effect of such policies during the current COVID-19, and subsequently be better prepared to choose the most effective form of financial intervention policies when the next pandemic strikes, hopefully never.


1997 ◽  
Vol 36 (3) ◽  
pp. 221-240 ◽  
Author(s):  
Fazal Husain

This paper examines the validity of the Random Walk Model in the Pakistani equity market. The model, extensively tested in other equity markets, implies that past movements in a stock price are not helpful in predicting future prices of that stock. The model states that changes in stock prices are serially independent and conform to some probability distribution. Conventionally, the independence part is examined through Serial Correlation Test, whereas the distributional aspect is analysed through Frequency Distributions. Same techniques are applied in this paper on daily closing prices of 36 individual stocks, 8 sector indices, and a market index from January 1, 1989 to December 30, 1993. The analysis indicates that the Random Walk Model is not valid in the Pakistani equity market as is the case in other emerging markets. The results show the presence of strong serial dependence in stock returns and indicate the slow adjustment of the market to new information. This points to the weaknesses of the market regarding the dissemination of pertinent information to potential investors, indicating that effective measures should be taken in this regard. The shape of the distribution reveals that stock returns in the Pakistani market, like in other equity markets, do not comply with the normal distribution, implying that theoretical models must be used with caution.


2021 ◽  
Vol 13 (4) ◽  
pp. 2037 ◽  
Author(s):  
Dirk Brounen ◽  
Gianluca Marcato ◽  
Hans Op ’t Veld

By analyzing the adoption of the European Public Real Estate Association’s (EPRA) Sustainability Best Practices Recommendations (sBPR), we examine and discuss the application of transparent environmental, social and governance (ESG) ratings and their interaction with public real estate performance across European markets. Due to increasing concerns about the environment and the impact of investment on society at large, public property companies have made significant progress in improving transparency and enhancing the protection of shareholder value by sharing and reporting ESG best practices. We explore and review the EPRA sBPR database, which is highly useful for investors who are already screening listed real estate companies. Hence, in this project, we carefully study the diffusion process of this new ESG metric as a tool to enhance informational transparency regarding public real estate investment management and assess the effects of this transparency and ESG performance for the real estate stock returns. We find evidence of a sustainability premium that investors are willing to pay to access companies with better sustainable ratings.


2016 ◽  
Vol 24 (3) ◽  
pp. 343-362
Author(s):  
Latif Cem Osken ◽  
Ceylan Onay ◽  
Gözde Unal

Purpose This paper aims to analyze the dynamics of the security lending process and lending markets to identify the market-wide variables reflecting the characteristics of the stock borrowed and to measure the credit risk arising from lending contracts. Design/methodology/approach Using the data provided by Istanbul Settlement and Custody Bank on the equity lending contracts of Securities Lending and Borrowing Market between 2010 and 2012 and the data provided by Borsa Istanbul on Equity Market transactions for the same timeframe, this paper analyzes whether stock price volatility, stock returns, return per unit amount of risk and relative liquidity of lending market and equity market affect the defaults of lending contracts by using both linear regression and ordinary least squares regression for robustness and proxying the concepts of relative liquidity, volatility and return constructs by more than variable to correlate findings. Findings The results illustrate a statistically significant relationship between volatility and the default state of the lending contracts but fail to establish a connection between default states and stock returns or relative liquidity of markets. Research limitations/implications With the increasing pressure for clearing security lending contracts in central counterparties, it is imperative for both central counterparties and regulators to be able to precisely measure the risk exposure due to security lending transactions. The results gained from a limited set of lending transactions merit further studies to identify non-borrower and non-systemic credit risk determinants. Originality/value This is the first study to analyze the non-borrower and non-systemic credit risk determinants in security lending markets.


2020 ◽  
Author(s):  
◽  
Parveshsingh Seeballack

The unifying theme of this dissertation is the study of the role of macroeconomic news announcements in the context of the equity market. We focus on two important areas of the asset pricing theory, namely price discovery and equity risk premium forecasting. Chapter 2 investigates the time-varying sensitivity of stock returns to scheduled macroeconomic news announcements (MNAs) using high-frequency data. We present new insights into how efficiently stock returns incorporate the informational content of MNAs. We further provide evidence that the stock market response to MNAs is cyclical, and finally we conclude Chapter 2 with an investigation into the factors driving the time-varying sensitivity of stock return to MNAs. Chapter 3 investigates the time-varying sensitivity of stock returns in the context of unscheduled macroeconomic news announcements using high-frequency data. We investigate the speed and persistence in stock returns’ response to unscheduled macro-news announcements, and whether the reactions are dependent on the state of the economy, or general investor sentiment level. Combined, Chapters 2 and 3 provide interesting insights into how equity market participants react to the arrival of scheduled and unscheduled macro-announcements, under varying economic conditions. Chapter 4 focuses on equity risk premium forecasting. We investigate the predictive ability of option-implied volatility variables at monthly horizon, under varying economic conditions. We innovate by constructing monthly announcement and non-announcement option-implied volatility predictors and assess whether the monthly announcement option-implied volatility predictors contain additional information for better out-of-sample predictions of the monthly equity risk premium. Each of the three empirical chapters explores a unique aspect of the asset pricing theory in the context of the U.S. equity market.


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