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The purpose of this study is to examine empirically the conditional correlation between the major US indices (S&P500 index and Dow Jones Industrial index) and three selected meat commodities as: Feeder Cattle, Leen Hogs and Live Cattle during the period from July 22, 2010 to June 30, 2017.

In this study, the authors use for the first time the GARCH-DECO (1,1) to examine empirically the conditional nexus between the major US indices (S&P500 index and Dow Jones Industrial index) and three selected meat commodities as; Feeder Cattle, Leen Hogs and Live Cattle during the period from July 22, 2010 to June 30, 2017.

From the empirical findings, the authors conclude the existence of a highly significance of conditional heteroscedasticity parameters can demonstrate us to distinguish the nature of the volatility dependency between S&P500 index and Dow Jones Industrial index and three selected meat commodities indices.

This can find clear the significance of relationship in the process of financialization of the major US index and meat commodities indices in the case of this paper.

The purpose of this paper is to elucidate the main determinants of foreign direct investment (FDI) in the case of the Arab Maghreb countries.

We employ a dynamic panel analysis using the General Method of Moments for a sample composed of 105 countries over the period 1985–2018.

We show that FDI stability, market size, higher education enrolment, quality of institutions, distance, sharing of common border, and bilateral investment and integration agreements are the main determinants of FDI location. These determinants are neither general. The potential for attracting FDI from AMU countries is poorly exploited. FDI to the AMU is lower than estimated stock. The observed FDI to potential FDI ratio does not exceed 87%. France and Spain are the main investors in the AMU region thanks to historical and cultural links. The FDI from the United States, Canada, Germany, Belgium, and Japan are below what is expected.

The contribution of this paper is observed on the examining oh the determinants of the FDI in the Arab Maghreb countries. Our study demonstrate that the political stability can decrease investment risk in these countries. The administrations correspondingly require expanding their rules and strategies with union demonstrations which were at the beginning of the departure and closing of several foreign companies.

The purpose of this paper is to examine empirically the impact of COVID-19 pandemic news in USA and in China on the dynamic conditional correlation between Bitcoin and Gold.

This paper offers a crucial viewpoint to the predictive capacity of COVID-19 surprises and production pronouncements for the dynamic conditional correlation (DCC) among Bitcoin and Gold returns and volatilities using generalized autoregressive conditional heteroskedasticity-DCC-(1,1) through the period of study since July 1, 2019 to June 30, 2020. To assess the unexpected impact of COVID-19, this study pursues the Kuttner’s (2001) methodology.

The empirical findings indicate strong important correlation among Bitcoin and Gold if COVID-19 surprises are integrated in variance. This study validates the financialization hypothesis of Bitcoin and Gold. The correlation between Bitcoin and Gold begin to react significantly further in the case of COVID-19 surprises in USA than those in China.

This paper contributes to the literature on assessing the impact of COVID-19 confirmed cases surprises on the correlation between Bitcoin and Gold. This paper gives for the first time an approach to capture the COVID-19 surprise component. Also, this study helps to improve financial backers and policymakers' comprehension of the digital currencies' market elements, particularly in the hours of amazingly unpleasant and inconspicuous occasions.

This paper aims to provide an important perspective to the predictive capacity of Organization of the Petroleum Exporting Countries (OPEC) meeting dates and production announcements for energy futures (crude oil West Texas Intermediate (WTI), gasoline reformulated gasoline blendstock for oxygen blending (RBOB), Brent oil, London gas oil, natural gas and heating oil) market returns and volatilities.

To examine the impact of OPEC news on energy futures market returns and volatilities, the authors use a conditional quantile regression methodology during the period from April 01, 2013 to June 30, 2017.

From the empirical findings, the authors show a conditional dependence between energy futures returns and OPEC-based predictors; hence, the authors can find clear the significance of relationship in the process of financialization of the OPEC announcements and energy futures in the case of this paper. From the quantile-causality test, the authors find that the effect of OPEC news is important to energy futures. Specifically, OPEC announcements dates predict the quantiles of the conditional distribution of energy futures market returns.

The authors confirm the presence of unidirectional nexus between OPEC news and energy commodities futures in the long term.

The purpose of this paper is to understand and compare the extent and nature of the impact of foreign portfolio investment (FPI) on the stock market volatility, particularly in the Southeast Asian emerging markets, and compare that against the corresponding experience of Indian economy, in the context of a global financial crisis of the recent past.

The Asian emerging markets are now being perceived as becoming financially more and more vulnerable to international events because of their growing exposure to unstable foreign investment flows. The daily net FPI inflow and the daily leading stock market composite index of four countries, namely, Thailand, the Philippines, Indonesia and India, have been analyzed using autoregressive conditional heteroscedasticity (ARCH)-generalized ARCH group of models dividing the study period from 2000 to 2014 among pre-crisis, crisis and post-crisis period separately.

The study reveals that the net inflow of FPI has been a significant determinant of stock market returns in all countries. The impact of volatility spillover from the FPI market to the stock market in the sample countries has been found to be different under different market conditions. The past information and volatility clustering have been significantly influencing the stock market return volatilities of all these Southeast Asian countries on average.

However, there are significant country-wise differences in the relative importance and direction of the relationship of each of these effects with the volatility of the FPI and the stock markets. These effects have been different in these four different markets and they have significantly altered in strength and significance during the global financial crisis and in the post-financial crisis period.

This paper provides an important perspective to the predictive capacity of Fed and European Central Bank (ECB) meeting dates and production announcements for the dynamic conditional correlation (DCC) between Bitcoin and energy commodities returns and volatilities during the period from August 11, 2015 to March 31, 2018.

To assess empirically the unanticipated component of the US and ECB monetary policy, the authors pursue the Kuttner's approach and use the federal funds futures and the ECB funds futures to assess the surprise component. The authors use the approach of DCC as introduced by Engle (2002) during the period from August 11, 2015 to March 31, 2018.

The authors’ results suggest strong significant DCCs between Bitcoin and energy commodity markets if monetary policy surprises are incorporated in variance. These results confirmed the financialization of Bitcoin and commodity energy markets. Finally, the DCC between Bitcoin and energy commodity markets appears to respond considerably more in the case of Fed surprises than ECB surprises.

This study is a crucial topic for policymakers and portfolio risk managers.

The economic and financial literature dealing with the subject of bank profitability has often been based in the measurement of banking results on three main indicators: ROA, ROE and MIN. This article aims to determine and analyze the different determinants that influence bank profitability and to identify the impact of these determinants on the profitability of Moroccan banks.

For this purpose, a fixed individual effect model was adopted for the case of six Moroccan banks during the period of study from 1997 to 2018. The authors carried out their estimates at three levels according to three categories of profitability factors: bank factors, factors of the banking system and macroeconomic factors.

The empirical findings show that Moroccan banks react on their size to boost their performance, which further explains the continued expansion of Moroccan banking networks. The authors confirm that Moroccan banks have not yet reached a level of size that will be detrimental to their performance. Therefore, the authors can conclude that the big Moroccan banks do not follow the concept of economy of scale. The effects of the variation in the level of economic growth as well as the evolution of the level of inflation on the performance of Moroccan banks are not significant.

The authors’ findings and results have some important originality and value. Primarily, these results would consist of better helping the State, bankers, and bank managers to better understand the various determinants of bank profitability. The results may also help to better examine the effect of each factor, whether internal or external, on banks' bottom line.

This paper aims to investigate the relationship between money creation process and banking performance for Tunisian listed banks, particularly in the context of increased economic policy uncertainty.

In the relevant literature, there are two theories of money creation. The theory of money creation out of nothing, by using the central bank for refinancing and the theory of financial intermediation, from which money creation is made from preexisting savings. In this paper, the authors utilize a panel data for a sample composed of 11 Tunisian banks during the period of study from 1999 to 2019.

The study’s empirical analysis show that both forms of money creation have a positive impact on bank profitability as measured by the return on assets (ROA) and return on equity (ROE) ratios. However, the same analysis shows that the channel of money creation out of nothing is the most profitable for banks. Also, the authors show that economic policy uncertainty negatively influences the relationship between money creation and banking profitability only when credit creation is derived from savings.

This paper contributes to the literature by explaining the nexus between money creation and Tunisian banking performance which depends on the implementation of stable and conducive economic and political environment. Also, this link requires the implementation of monetary measures to encourage savings and develop an efficient capital market and judicious monetary policy enabling the central bank to inject more liquidity into the economy.

The purpose of this study is to illuminate financial commitment of a firm vis-a-vis corporate behavior of 519 reported fabric businesses in G-20 states. This study also aims to take into account the regional baseline comparisons (i.e. subsampling) of G-20 firms based on the available data. The pattern of the current study comes from the registered companies in the G-20 states. For the fabricating business, the 2007–2018 annual financial statements are obtained from the Thomson Reuters Data Stream and World Stock Exchange.

For the investigation, the panel data were analyzed from the period 2007–2018 by applying summary statistics of ordinary least square, correlation matrix and generalized method of moments.

The findings of this study suggest that Ln assets, dividends and investments have a positive association with the debt level. In addition, profitability and working capital were negatively associated with change in total debt under pecking order theory.

The effects of the geographical location of the firms and current global economic downturn were accounted for the capital structure decisions and corporate performance of G-20 firms.

This study instigates observed phenomenon elicited from capital structure theory by applying analytical method, instead of describing them in terms of administrative selection, taking measure and chief financial officers risk preference. Finally, work is required to form new hypothesis and explore novel factors that could enrich academic scholars’ motivation.