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1 – 10 of 894Standard measures of business cycle comovement, based on correlation coefficients, are very sensitive to the phase of the business cycle, as well as to regional crises. Adjusting…
Abstract
Standard measures of business cycle comovement, based on correlation coefficients, are very sensitive to the phase of the business cycle, as well as to regional crises. Adjusting for these factors overturns the empirical result that Asia-Pacific economies are becoming decoupled from the United States over time. An alternative, intuitive, measure of business cycle comovement is proposed, based on the difference between output growth rates adjusted for its long-run average. The new measure suggests that Asia-Pacific economies are becoming more strongly coupled with the United States over time.
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Martin Belvisi, Riccardo Pianeti and Giovanni Urga
We propose a novel dynamic factor model to characterise comovements between returns on securities from different asset classes from different countries. We apply a…
Abstract
We propose a novel dynamic factor model to characterise comovements between returns on securities from different asset classes from different countries. We apply a global-class-country latent factor model and allow time-varying loadings. We are able to separate contagion (asset exposure driven) and excess interdependence (factor volatility driven). Using data from 1999 to 2012, we find evidence of contagion from the US stock market during the 2007–2009 financial crisis, and of excess interdependence during the European debt crisis from May 2010 onwards. Neither contagion nor excess interdependence is found when the average measure of model implied comovements is used.
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This chapter examines the increased levels of cross-asset price comovement and its relationship with the recent rounds of “extraordinary intervention” from the US Federal Reserve…
Abstract
This chapter examines the increased levels of cross-asset price comovement and its relationship with the recent rounds of “extraordinary intervention” from the US Federal Reserve. The results show that, even after controlling for the preceding financial crisis, asset return volatility, investor risk perceptions, and channels of monetary stimulus, historically unrelated financial asset returns experienced abnormal changes in their conditional correlations. The strength of these cross-asset correlations is directly linked to periods of Federal Reserve interventions yet disappear when the interventions were (in fact or were perceived to be) withdrawn. Despite being studied extensively in the academic literature, no traditional intervention channels can explain the changes in cross-comovement. It is proposed that the Fed’s extraordinary stimulus caused investors to use Fed announcements as a common, low-cost information source on which they used to make common portfolio-allocation decisions. The changes in comovement during the intervention period may have reduced investor welfare for those with longer-horizon allocation strategies, those not prepared for the eventual ending of the stimulus, and for underfunded liability-optimizing portfolio managers (e.g., state pension funds).
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Michael Chin, Ferre De Graeve, Thomai Filippeli and Konstantinos Theodoridis
Long-term interest rates of small open economies (SOE) correlate strongly with the USA long-term rate. Can central banks in those countries decouple from the United States? An…
Abstract
Long-term interest rates of small open economies (SOE) correlate strongly with the USA long-term rate. Can central banks in those countries decouple from the United States? An estimated Dynamic Stochastic General Equilibrium (DSGE) model for the UK (vis-á-vis the USA) establishes three structural empirical results: (1) Comovement arises due to nominal fluctuations, not through real rates or term premia; (2) the cause of comovement is the central bank of the SOE accommodating foreign inflation trends, rather than systematically curbing them; and (3) SOE may find themselves much more affected by changes in USA inflation trends than the United States itself. All three results are shown to be intuitive and backed by off-model evidence.
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Abigail Naa Korkor Adjei, George Tweneboah and Peterson Owusu Junior
The purpose of this paper is to investigate the interdependence between economic policy uncertainty (EPU) and business cycles within and among six emerging market economies (EMEs…
Abstract
Purpose
The purpose of this paper is to investigate the interdependence between economic policy uncertainty (EPU) and business cycles within and among six emerging market economies (EMEs) from January 1999 to December 2018.
Design/methodology/approach
This study adopts the wavelet multiple correlations and wavelet multiple cross-correlation (WMCC) based on the maximal overlap discrete transform estimator. This methodology simultaneously investigates how two or more time series variables move together continuously at both time and frequency domains.
Findings
The empirical results show that business cycles comove with EPU for both intra- and inter-country analysis, with the long term showing the greatest degree of interdependence. In intra-country comparisons, EPU has a positive correlation with consumer price index and a negative correlation with share price index. According to the WMCC results, EPU does not have any leading or lagging power within each EME, but rather import has both lead and lag power. The inter-country WMCC results are all significant, with Korea’s EPU leading/following all EMEs across all scales.
Originality/value
This study contributes to the ongoing debate about what causes business cycles to comove by investigating business cycle indicators (leader/follower) using a robust wavelet methodology. The authors propose new variables that can clearly reflect the outcome of economic policy actions and translate information about EPU shocks. The inclusion of the variables has altered the understanding of the relationship between EPU and business cycle fluctuations. Policymakers also gain new insights into the trends and patterns of EPU and business cycles, which will help them formulate and implement fiscal and monetary policies more effectively.
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Mohamed El Hedi Arouri and Fredj Jawadi
Purpose – This chapter aims to investigate the stock market comovements between Mexico and the world capital market using nonlinear modeling tools.Methodology/approach – We apply…
Abstract
Purpose – This chapter aims to investigate the stock market comovements between Mexico and the world capital market using nonlinear modeling tools.
Methodology/approach – We apply recent nonlinear cointegration and nonlinear error correction models (NECMs) to investigate the comovements between stock prices over the recent period.
Findings – While the previous literature only highlights some evidence of time-varying comovements, our chapter aims to specify the mechanism characterizing the comovement process through the comparison of two nonlinear error correction models (NECMs). It shows a nonlinear relationship between stock prices that are activated per regime.
Originality – Studying the integration hypothesis between stock markets over the recent financial crisis, our findings highlight strong evidence of significant comovements that explain the global collapse of stock markets in 2008–2009.
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George Milunovich and Stefan Trück
The purpose of this paper is to investigate contagion between real estate investment trusts (REITs) within and across three geographical regions: North America, Europe and…
Abstract
Purpose
The purpose of this paper is to investigate contagion between real estate investment trusts (REITs) within and across three geographical regions: North America, Europe and Asia‐Pacific. The paper also examines excess comovement between the considered national REIT markets on the one hand, and broad equity indices on the other. In particular, the authors are interested in contagion between the considered markets during the 2007‐2009 GFC period in comparison to the entire 2004‐2011 sample period.
Design/methodology/approach
Using an international factor pricing framework similar to Bekaert, Harvey and Ng, the paper defines contagion as excess comovement between two financial markets, after removing the effects of the underlying economic fundamentals, i.e. risk factors, and time‐changing volatility. Controlling for economic factors is important for distinguishing between pure contagion and information spillovers, which may transmit through existing economic channels. The authors then analyse excess correlations between the derived standardized residuals, for REITS and equity markets in order to investigate excess comovement between the indices during the whole sample and GFC period.
Findings
The paper finds no evidence of excess comovement between the considered REIT and equity indices during non‐crisis sample intervals. However, the paper finds contagion between several national REITs and regional or global equity markets during the GFC period. The paper reports statistically significant excess correlations between national REITs and regional and world real estate markets during the entire sample period, while there is only limited evidence to suggest that the correlation amongst REIT markets has increased during the GFC period. The paper concludes that a similar degree of dependence persisted among national REIT markets over the crisis and non‐crisis sample periods for most markets.
Originality/value
Despite the ongoing debate on contagion in financial markets, there is only a small body of literature investigating contagion specifically for property or real estate markets. This is even more surprising, since the GFC originated from a subprime mortgage crisis and was, therefore, heavily related to real estate. The paper extends the literature by testing for contagion between REITs considering eleven national markets across three geographical regions. In contrast, the existing literature is typically constrained to a significantly smaller number of markets. The paper also explicitly takes into account the impact of the recent GFC, and tests for contagion over this period.
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Subhamitra Patra and Gourishankar S. Hiremath
This study aims to measure the degree of volatility comovement between stock market liquidity and informational efficiency across Asia, Europe, North-South America, Africa, and…
Abstract
Purpose
This study aims to measure the degree of volatility comovement between stock market liquidity and informational efficiency across Asia, Europe, North-South America, Africa, and the Pacific Ocean over three decades. In particular, the authors analyze the extent of the time-varying nexus between different aspects of stock market liquidity and multifractal scaling properties of the stock return series across various regions and diversified market conditions. This study further investigates several factors altering the degree of dynamic conditional correlations (DCCs) between the efficiency and liquidity of the domestic stock markets.
Design/methodology/approach
The study measures five aspects of stock market liquidity – tightness, depth, breadth, immediacy, and adjusted immediacy. The authors evaluate the multifractal scaling properties of the stock return series to measure the level of stock market efficiency across the regions and diversified market conditions. The study uses the dynamic conditional correlation-multivariate generalized autoregressive conditional heteroscedasticity framework to quantify the degree of volatility comovement between liquidity and efficiency over the period.
Findings
The study finds the presence of stronger volatility comovement between inefficiency and illiquidity due to the price impact characteristics of the stock markets irrespective of different regions and diversified market conditions. The extent of time-variation increased following the shock periods, indicating the significant role of the financial crisis in increasing the volatility comovement between inefficiency and illiquidity. The highest degree of time-varying correlation is observed in the developed stock markets of Northwestern and Northern Europe compared to the regional and emerging counterparts. On the other hand, weak DCCs are observed in the emerging stock markets of Europe.
Originality/value
The output of the present study assists investors in identifying diversification opportunities across the regions. Additionally, the study has significant implications for market regulators, aiding in predicting future troughs and peaks. The prediction, in turn, helps formulate capital market development plans during dynamic economic situations.
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Shoaib Ali, Imran Yousaf and Xuan Vinh Vo
This study examines the dynamics of the comovement and causal relationship between conventional (Bitcoin, Ethereum and Binance coin) and Islamic (OneGram, X8X token and HelloGold…
Abstract
Purpose
This study examines the dynamics of the comovement and causal relationship between conventional (Bitcoin, Ethereum and Binance coin) and Islamic (OneGram, X8X token and HelloGold) cryptocurrencies.
Design/methodology/approach
This study uses wavelet coherence approach to examine the time-varying lead-lag relationship between conventional and Islamic cryptocurrencies. Furthermore, the authors use BEKK-GARCH model to estimate the optimal weights, hedge ratio and hedging effectiveness in pre-COVID-19 and during the COVID-19 period.
Findings
The authors find no significant comovement in pre-COVID-19. However, the authors find significant positive comovement in conventional and Islamic cryptocurrencies at the beginning of the pandemic, and in most cases, conventional cryptocurrencies are leading. X8X and HelloGold have no/weak correlation with conventional cryptocurrencies, implying that investors can diversify the risk by making an Islamic and conventional cryptocurrencies portfolio. The authors also calculate the optimal weights, hedge ratio and hedging effectiveness using the BEKK-GARCH model. Based on the optimal weights, for the portfolios of conventional–Islamic cryptocurrencies, investors are suggested to increase their investment in Islamic cryptocurrencies during the COVID-19 than normal period. The results of hedge ratios show that hedging costs are higher during COVID-19 than before.
Practical implications
The findings of the paper offer several practical policy implications for investors, portfolio manager, Shariah advisors and policymakers pertaining to asset allocation, risk management, forecasting and diversification. Specifically, investors can maximize the risk adjusted returns of their conventional cryptocurrencies portfolio by adding some portions of Islamic cryptocurrencies. Considering the comovement is time-varying, investors/manager should adjust their investment strategies frequently. For the entrepreneurs in crypto-industry, it is advised to introduce new Islamic cryptocurrencies, as it has a huge growth potential because of their distinct features and performance.
Originality/value
This is the first study that explores the linkages between conventional and Islamic cryptocurrencies, therefore this study extends the literature of Islamic finance, stablecoins and cryptocurrencies in pre-COVID-19 and during COVID-19 period. The study results provide insights to conventional crypto investor on how to manage their portfolio during normal and turbulent period.
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Walid Mensi, Vinh Xuan Vo and Sang Hoon Kang
This study aims to examine the multiscale predictability power of COVID-19 deaths and confirmed cases on the S&P 500 index (USA), CAC30 index (France), BSE index (India), two…
Abstract
Purpose
This study aims to examine the multiscale predictability power of COVID-19 deaths and confirmed cases on the S&P 500 index (USA), CAC30 index (France), BSE index (India), two strategic commodity futures (West Texas intermediate [WTI] crude oil and Gold) and five main uncertainty indices Equity Market Volatility Ticker (EMV), CBOE Volatility Index (VIX), US Economic Policy Uncertainty (EPU), CBOE Crude Oil Volatility Index (OVX) and CBOE ETF Gold Volatility Index (GVZ). Furthermore, the authors analyze the impact of uncertainty indices and COVID-19 deaths and confirmed cases on the price returns of stocks (S&P500, CAC300 and BSE), crude oil and gold.
Design/methodology/approach
The authors used the wavelet coherency method and quantile regression approach to achieve the objectives.
Findings
The results show strong multiscale comovements between the variables under investigation. Lead-lag relationships vary across frequencies. Finally, COVID-19 news is a powerful predictor of the uncertainty indices at intermediate (4–16 days) and low (32–64 days) frequencies for EPU and at low frequency for EMV, VIX, OVX and GVZ indices from January to April 2020. The S&P500, CAC30 and BSE indexes and gold prices comove with COVID-19 news at low frequencies during the sample period. By contrast, COVID-19 news and WTI oil moderately correlated at low frequencies. Finally, the returns on equity and commodity assets are influenced by uncertainty indices and are sensitive to market conditions.
Originality/value
This study contributes to the literature by exploring the time and frequency dependence between COVID-19 news (confirmed and death cases) on the returns of financial and commodity markets and uncertainty indexes. The findings can assist market participants and policymakers in considering the predictability of future prices and uncertainty over time and across frequencies when setting up regulations that aim to enhance market efficiency.
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