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The purpose of this paper is to outline how banks are coping with the new regulatory challenges posed by stressed value at risk (SVaR). The Basel Committee has introduced three measures of capital charges for market risk: incremental risk charge (IRC), SVaR and comprehensive risk measure (CRM). This paper is designed to analyse the methodologies for SVaR deployed at different banks to highlight the SVaR-related challenges stemming from complying with Basel 2.5. This revised market risk framework comes into force in Europe in 2012. Among the wide range of changes is the requirement for banks to calculate SVaR at a 99 per cent confidence interval over a period of significant stress.

The current research project is based on in-depth, semi-structured interviews with nine universal banks and one financial services company to explore the strides major banks are taking to implement SVaR methodologies while complying with Basel 2.5.

This paper focuses on strengths and weaknesses of the SVaR approach while reviewing peer practices of implementing SVaR modelling. Interestingly, the surveyed banks have not indicated significant challenges associated with implementation of SVaR, and the reported problems boil down to dealing with the poor quality of market data and, as in cases of IRC and CRM, the lack of regulatory guidance. As far as peer practices of implementing SVaR modelling are concerned, the majority of the surveyed banks utilise historical simulations and apply both the absolute and relative measures of volatility for different risk factors.

The academic studies that explicitly analyse challenges associated with implementing the stressed version of VaR are scarce. Filling in the gap in the existing academic literature, this paper aims to shed some explanatory light on the issues major banks are facing when calculating SVaR. In doing so, this study adequately bridges theory and practice by contributing to the fierce debate on compliance with Basel 2.5.

This chapter proposes a vector autoregressive VAR model with structural shocks (SVAR) that are identified using sign restrictions, and whose distribution is subject to time varying skewness. The authors also present an efficient Bayesian algorithm to estimate the model. The model allows tracking joint asymmetric risks to macroeconomic variables included in the SVAR, and provides a structural narrative to the evolution of those risks. When faced with euro area data, our estimation suggests that there has been a significant variation in the skewness of demand, supply and monetary policy shocks. Such variation can explain a significant proportion of the joint dynamics of real GDP growth and inflation, and also generates important asymmetric tail risks in those macroeconomic variables. Finally, compared to the literature on growth- and inflation-at-risk, the authors find that financial stress indicators are not enough to explain all the macroeconomic tail risks.

This study investigates the spillover effects between exchange rate changes and stock returns in China. The authors find that no significant interconnections exist between stock returns and exchange rates changes.

Although the conventional structural VAR (SVAR) approach fails to examine the contemporaneous effects, the Markov switching SVAR model captures the volatile structure of the Chinese financial market. The regime-switching estimates indicate that volatile structure tends to be significant during two financial crisis periods.

Notwithstanding the fact that exchange rate changes cannot Granger-cause stock returns in the long run, its contemporaneous spillover effects on stock returns are found to be statistically significant.

This study aims to shed light on the spillover effects between exchange rate changes and stock returns in China, as the Chinese currency is becoming flexible and China’s stock market has undertaken important reforms. The spillovers between the two markets are of topical importance due to the increasing connections between China and the global economy.

This paper aims to examine the effects of monetary policy and foreign shocks on output, inflation and exchange rate in Egypt.

This paper studies the effects of monetary policy and foreign shocks on output, inflation and exchange rate by using non-recursive SVAR model and quarterly data.

First, the empirical results reveal that monetary policy shocks, through changes in interest rate or money supply, have a significant effect on output, inflation and exchange rate in Egypt. Second, the world oil prices and foreign output have significant impacts on output, inflation and exchange rate in Egypt, while foreign interest rate has a significant effect on domestic output and inflation.

The limitation of the study is examining one country only.

The Central Bank of Egypt (CBE) should adjust interest rate to stabilize inflation, output and exchange rate. By stabilizing inflation, output and exchange rate, the CBE would be able to achieve the ultimate targets of monetary policy, namely, price stability and economic growth.

It is important for the CBE because it shows the significant effect of monetary policy on macroeconomic variables in Egypt. Also, it is important for people because it shows the important role for the CBE.

It is important for the CBE because it examines the effect of monetary policy and foreign shocks on macroeconomic variables.

This paper investigates the structural model of vector autoregression (SVAR) of the interdependent relationship of inflation, monetary policy and Islamic banking variables (RDEP, RFIN, DEP, FIN) in Indonesia. By using monthly data for the period 2001M01-2019M12, the impulse response function (IRF), forecasting error decomposition variation (FEDV) is used to track the impact of Sharīʿah variables on inflation (prices).

This research uses quantitative approach with SVAR model to reveal the problem.

The empirical results of SVAR, the IRF show that policy shocks have a negative impact on all variables in Islamic banking except the equivalent deposit interest rate (RDEP). The impact of both conventional (7DRR) and Sharīʿah (SBIS) policies has a similar pattern. While the transmission of Sharīʿah monetary variables as a policy operational target in influencing inflation is positive. In addition, the FEDV clearly revealed that the variation in the Sharīʿah financial sector was relatively large in monetary policy shocks and their role in influencing prices.

The empirical results of SVAR, the IRF show that policy shocks have a negative impact on all variables in Islamic banking except the equivalent deposit interest rate ‘RDEP’. The impact of both conventional “7DRR” and Sharīʿah “SBIS” policies has a similar pattern. While the transmission of Sharīʿah monetary variables as a policy operational target in influencing inflation is positive. In addition, the FEDV clearly revealed that the variation in the Sharīʿah financial sector was relatively large in monetary policy shocks and their role in influencing prices.

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.

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.

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.

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.

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.

Since 2008, bitcoin has continued to attract investors due to its growing capitalization and opportunity for speculation. The purpose of this paper is to analyze the impact of bitcoin (BTC) on gold, the volatility index (VIX) and the dollar index (USDX).

The series used are weekly and cover the period from January 2016 to November 2022. To generate the results, the unrestricted vector autoregression (VAR), structural vector autoregression (SVAR) and wavelet coherence were performed.

The findings are mixed as not all tests show the exact effects of BTC in the three asset classes. However, common to all the tests is the significant influence that BTC maintains on gold and vice versa. The positive shock in BTC significantly increases the gold prices, confirmed in three different tests. The effects on the VIX and USDX are still being determined, where in some tests, it appears to be influential while in others not.

BTC’s diversification potential with equity stocks and USDX makes it a valuable security for portfolio managers. Furthermore, regulatory authorities should consider that BTC is not an isolated phenomenon and can significantly influence other asset classes such as gold.

The purpose of this paper is evaluate the interrelations between Islamic financing and key economic and financial variables including real output, price level, interest rate and stock prices for the case of Malaysia.

The paper makes use of a structural vector autoregressive (SVAR) model to discern the influences of key economic and financial variables on the behavior of Islamic financing.

The basic results indicate that Islamic financing responds positively to innovations in real output. In addition, the price level shocks also tend to have significant but lagged effects on the financing provision of Islamic banks. Most interestingly, Islamic financing is impacted negatively and immediately by positive interest rate shocks, contradicting the argument that Islamic bank operations are shielded from interest rate fluctuations. Indeed, the excess sensitivity of Islamic banks to interest rate fluctuations and their lagged responses to price level shocks are found to be robust across alternative SVAR specifications.

Operating under a dual banking system, Islamic banks are not immune from monetary conditions of the country. Indeed, it seems to be exposed to the interest rate risk, an aspect that needs to be accounted for by Islamic banks in their risk management.

With the emergence of Islamic finance industry, understanding the implications of various macroeconomic factors on Islamic financing is essential. This study adds to this understanding, which has received limited attention.

The present paper aims to evaluate the structural impact of exogenously induced fiscal shocks on the Moroccan economy. This entails an analysis of the effect on the GDP of COVID-19-induced fiscal shocks manifesting in terms of budgetary revenues and expenditures. A key aspect of this analysis addresses the size of the tax and fiscal multipliers.

The study examines the structural relationship between five variables during the period between Q1 2009 and Q2 2020 using an SVAR approach that allows for a dynamic interaction between ordinary expenditures and revenues on a quarterly basis.

Positive structural shocks on public spending are likely to negatively impact economic growth. Negative economic growth, in turn, will damage price levels and interest rates, mainly over the long term. However, public-revenue-multiplier-associated shocks exceed these price- and interest-rate multiplier-associated shocks. Indeed, a structural shock to ordinary revenues can have a positive but insignificant impact on the GDP stemming from the ensuing decrease in the government budget deficit that proceeds from the increase in government revenues.

This is one of the first studies in the Moroccan context to assess the impact of the current worldwide pandemic on public finances. In addition, this study highlights the importance of boosting economic recovery through public spending.

A change in monetary operating procedures provides a natural experiment which is used to evaluate, first, whether Indian monetary policy transmission is better when durable liquidity is in surplus or when it is in deficit; second whether it is better with interest rates as the policy instrument or quantity of money or a mixture of the two.

This study first shows that the period of analysis can be divided into two separate regimes one of liquidity surplus (2002–2010) and the other of deficit (2011–2019).This study then estimates separate structural vector auto-regressions (SVARs) for the financial and real sector, with relevant exogenous foreign, policy and other variables for each of the periods as well as SVARs for the whole period with alternative operating instruments.

Monetary transmission from the repo rate was better during the period the liquidity adjustment facility (LAF) was in surplus with the central bank in absorption mode denoting excess durable liquidity. Pass through was faster and the repo rate had a greater influence on other variables. The impact of the rate on output gap exceeds that on inflation. The weighted average call money rate was found to outperform others as the operating target. Monetary policy has evolved so that policy rates are more effective in transmission compared to money supply, but best results are when durable liquidity is also in surplus.

The results contribute to ongoing debates on the Indian monetary policy framework and give useful inputs for policy in emerging markets where research is scarce. They suggest keeping the LAF in deficit mode over 2011–19 was not optimal.