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This paper aims to attempt to capture the intertemporal/time-varying risk–return relationship in the Brazil, Russia, India and China (BRIC) equity markets after the global financial crisis (2007-2009), i.e. during a relative calm period. There has been a significant increase in advanced economies’ equity allocations to the emerging markets ever since the financial crisis. So, the present study is an attempt to account for the said relationship, thereby justifying investments made by the international investors.

The study uses non-linear models comprising asymmetric component generalised autoregressive conditional heteroskedastic model in mean (CGARCH-M) (1,1) model, generalised impulse response functions under vector autoregressive framework and Markov regime switching in mean and standard deviation model. The span of data ranges from 1 July 2009 to 31 December 2014.

The ACGARCH-M (1,1) model reports a positive and significant risk-return relationship in the Russian and Chinese equity markets only. There is leverage and volatility feedback effect in the Russian market because falling returns further increase conditional variance making the investors to expect a risk premium in the expected returns. The impulse responses indicate that for all of the BRIC markets, the ex-ante returns respond positively to a shock in the long-term risk component, whereas the response is negative to a shock in the short-term risk component. Finally, the Markov regime switching model confirms the existence of two regimes in all of the BRIC markets, namely, Bull and Bear regimes. Both the regimes exhibit negative relationship between risk and return.

It is an imperative task to comprehend the relationship shared between risk and returns for an investor. The investors in the emerging economies should understand the risk-return dynamics well ahead of time so that the returns justify the investments made under riskier environment.

The present study contributes to the literature in three senses. First, the data relate to a period especially after the global financial crisis (2007-2009). Second, the study has used a relatively newer version of GARCH based model [ACGARCH-M (1,1) model], generalised impulse response functions and Markov regime switching model to account for the relationship between risk and return. Finally, the study provides an insightful understanding of the risk–return relationship in the most promising emerging markets group “BRIC nations”, making the study first of its kind in all the perspectives.

This paper aims to examine the effects of fiscal policy associated with increases in government expenditures, tax revenue and budget deficit on the South African economy.

Structural VARs based on the Blanchard‐Quard decomposition identification scheme were used in the empirical analysis. With the aid of quarterly data covering the period 1990:1 to 2008:4, the identified true models are used to estimate various impulse‐response functions. The impulse‐response functions represent the responses of real output and interest rates to shocks from tax revenue, budget deficit and government consumption and investment expenditures.

The results suggest that the fiscal policy instruments have varied effects on output and interest rates. The effect of the fiscal policy on output appears to be quite modest but persistent; however, the response from interest rate is temporary and substantial most cases.

The debate on the efficacy of fiscal policy in stimulating growth seems to have assumed new prominence in the wake of the recent global financial crisis. This paper contributes to the discourse from a South African focused empirical effort. Other fiscal policy authorities may find the paper valuable.

Analyses the empirical relation between the one‐month interest rate, the long‐term interest rate and the motgage rate in The Netherlands. To study the dynamic interactions between these variables, vector autoregressive techniques are used. Concentrates on the question of whether the mortgage rate dynamics can correctly be described by a one‐factor interest rate model. One‐factor interest rate models allow mathematical derivations of deterministic equations to price interest rate derivatives. Finds, however, that a single factor does not correctly describe the interest rate term structure. Hence, to model the mortgage rate dynamics accurately more factors should be included.

The purpose of this paper is to examine the short‐ and long‐run causal relationship between energy consumption and gross domestic product (GDP) of six emerging economies of Asia. The importance of identifying the direction of causality emanates from its relevance in national policy‐making issues regarding energy conservation.

This paper employs co‐integration and vector error correction modeling along with generalized impulse response functions and varience decomposition tests to check the robustness of the findings.

The empirical results show that there exists unidirectional short‐ and long‐run causality running from energy consumption to GDP for China, uni‐directional short‐run causality from output to energy consumption for India, whilst bi‐directional short‐run causality for Thailand. Neutrality between energy consumption and income is found for Indonesia, Malaysia, and Philippines. Both the generalized variance decompositions and impulse response functions confirm the direction of causality.

These findings have important policy implications for the countries concerned. The results suggest that while India may directly initiate energy conservation measures, China and Thailand may opt for a balanced combination of alternative polices.

Many economists and social scientists are claiming that the increased demand for energy from developing countries like China and India is one of the major reasons for the energy price hikes in recent times. In this backdrop, it is justified to search causal relationship between energy consumption and national output (GDP) of some developing countries from Asia. Since the traditional bivariate approach suffers from omitted variable problems, this paper employs a trivariate demand side approach consisting of energy consumption, income and prices.

This paper aims to quantify the volatility spillover impact and the directional predictability from stock market indexes to Bitcoin.

Daily data of 15 developed and 15 emerging stock markets are used for the period March 2017–December 2021.; The author uses vector autoregressive (VAR) model, Granger causality test and impulse response function (IRF) to estimate the results of the study.

Empirical results show a significant unidirectional volatility spillover impact from emerging markets to Bitcoin and only six stock markets are powerful predictors of Bitcoin return in the short term. Additionally, there is no a difference between developed and developing markets regarding the directional predictability however there is difference in the reaction of Bitcoin return to shocks in the emerging markets compared to developed ones.

The paper proposes different econometric techniques from prior research and presents a comparative analysis between developed and emerging markets.

This research applies vector autoregression to estimate a system composed of market share and relative advertising expenditures of the seven major competitors in the U. S. replacement passenger tire market between 1972 and 1983. The results of the study suggest that a company's market share in this market cannot be predicted from its relative advertising expenditures.

The purpose of this study is to investigate the dynamic relationship that exists between energy consumption, environmental pollution and per capita economic growth in Tanzania. The energy consumption is represented by electricity usage in kilowatt hours (kWh) per capita, while environmental pollution is represented by carbon emission per metric tons and economic growth by gross domestic product (GDP) per capita.

This investigation is made based on the Environmental Kuznets Curve using time series annual data from 1975 to 2013 by applying the more robust causality technique of Toda and Yamamoto non-Causality test (1995), Impulse response and Variance Decomposition, Augumented and Dickey–Fueller test and Philips and Perron Test of unit root tests.

Economic growth rate (LGDP) and energy consumption per capita (LENGY), both being unidirectional, cause environmental pollution through carbon emission (LCO₂) in Tanzania. Interestingly, after using impulse response, a significant and positive economic growth (GDP per capita) was found due to shocks from electricity per capita (energy consumption) and carbon emission (LCO₂) with time. The Variance Decomposition suggested that the percentage of the variations due to shocks or innovations of economic growth (LGDP) and energy consumption (LENGY) to carbon emission is very high and significant, accounting to 46 and 41 per cent, respectively, in 10 years to come.

The study recommends that, in the future, the relationship be examined using super-exogeneity causality tests that takes into consideration the changes in policy or regime in contrast to Toda and Yamamoto. Furthermore, the addition of other variables such as fixed capital formation and labor force, which were not considered in this study, may result in strong correlation.

The results imply that the government of Tanzania can adopt environment conservation and energy saving policies without affecting its economic growth. As a matter of fact, to put a stop to persistent environmental pollution in Tanzania, the energy saving policy should be put in place rather quickly. It is imperative that the government implements policies and strategies that ensure continuous economic growth without forsaking the environment.

Despite the increase in carbon emissions, energy consumption and economic growth in Tanzania since 2000, to date, no previous work has been done to investigate their multivariate relationship. This is the first study that uses the Toda and Yamamoto non-Causality test, Impulse Response and Variance Decomposition Analysis to investigate a trivariate relationship of the variables mentioned above.

This paper aims to investigate the relationship between global economic fluctuations and human development through four transmission channels (foreign direct investment (FDI), official development aid (ODA), remittances and export earnings) in Egypt as an open developing economy, in the period 1990–2015.

The paper uses a vector autoregressive model, which implies examining the impulse response functions and variance decompositions.

The results indicate that human development is negatively affected by global economic fluctuations through the four channels, namely, ODA, FDI, export earnings and remittances. In addition, the most effective transmission channels are FDI in the short run and export earnings in the long run.

While a large body of literature addresses the direct impact of business cycles and economic shocks on human development, only some studies focus on the indirect impact. The contribution is to identify the indirect impact of global economic fluctuations on human development in a developing economy, considering four transmission channels and to determine the most important of these channels. Moreover, using the human development index is an addition in this paper as most previous literature depends on other human development indicators such as children’s health, employment and schooling.

The relationship between short selling, market volatility and liquidity remains an object of intensive research. However, empirical evidence is yet to provide a conclusive elucidation of this relationship by examining aspects of market fragmentation in the form of different market settings, different timing and different stocks under coverage, among others. This paper aims to contribute to the debate by investigating the impact of short selling on market volatility and liquidity in the Athens Exchange (ATHEX) under three different periods of short sales restrictions.

Two hypotheses are tested using econometric methodologies (co-integration and Granger-causality tools).

The empirical results indicate that when short selling is allowed, aggregate stock returns are in the short-term more volatile, but the liquidity of the market is not significantly affected. This might be the result of significant imbalances between supply and demand of stock caused by short-selling restrictions, leading to market price fluctuations.

The analysis of empirical evidence needs further expansion and association with institutional firm-level and country-level elements to provide a more comprehensive understanding of the impact of short selling on market volatility and liquidity.

Stock market regulation involving short-selling restrictions have different implications according to extent and degree of stringency of the restrictions as well as the market on which they are imposed. That is especially important for the assessment of the market impact of the recent European Union regulation on short selling that has been imposed upon all EU member-States alike.

Financial regulation policy must balance the benefits and costs for retail investors of imposing short-selling restrictions on stock market trading.

First-time empirical evidence is provided on the impact of short selling regulations on market volatility and liquidity of ATHEX highlighting the potential effectiveness of regulation policy.

The purpose of this paper is to explore and analyse the dynamic relationship between remittances inflows of Egyptians working abroad and asymmetric oil price shocks.

This study uses a vector autoregressive (VAR) model to explain the impulse response functions (IRFs) and the forecast error variance decomposition (FEVD). The rationale behind using these tools is its ability to examine the dynamic effects of our variables of interest.

The impulse response functions confirmed that remittance inflows have various responses to asymmetric oil price shocks. For instance, inflowing remittances increase in response to positive oil price shocks, while it decreases in response to negative oil price shocks. Also, the results indicate that the responses are significant in the short and medium-run and insignificant in the long run. The magnitude of these responses reaches its peak or trough in the third year. Further, the variance decomposition reveals that oil price decreases are more influential than oil price increases.

This means that remittances inflows in Egypt are pro-cyclical with oil price shocks. That explained by the fact that more than one-half of those remittances sent from GCC countries where real economic growth is very pro-cyclical with the oil prices. This empirical assessment will help policymakers to determine the behaviour of remittances and highlights the impact of different kinds of oil prices shocks on remittances. Unlike the little existing literature, this study is the first study applied the VAR model using a novel dataset spanning 1960-2016.