Macroeconomic Risk and Political Stability: Perspectives from Emerging and Developing Economies

This study examines the impact of macroeconomic risk on political stability, using data compiled from 38 countries in the sub-region of sub-Saharan Africa (SSA), from 1996 to 2018. Macroeconomic risk index employed in this study is constructed using principal component analysis (PCA) from key economic variables. Empirical estimates verifying the relationship in question are conducted using the two-step system generalized method of moments (TS-SGMM) estimation technique. Presented empirical estimates suggest that macroeconomic risk has an adverse impact on political stability, all things being equal. Reported coefficient estimates further suggest that improvement in rule of law among economies in the sub-region significantly moderates the negative impact exerted on the political environment by macroeconomic risk. Coefficient estimates additionally suggest that improvement in governance and institutional variables (corruption control, government effectiveness, regulatory quality and rule of law) augment efforts at promoting political stability even in an environment characterized by volatile output growth.

Sharing Asymmetric Tail Risk: Smoothing, Asset Prices and Terms of Trade

Crises and tail events have asymmetric effects across borders, raising the value of arrangements improving insurance of macroeconomic risk. Using a two-country DSGE model, we provide an analytical and quantitative analysis of the channels through which countries gain from sharing (tail) risk. Riskier countries gain in smoother consumption but lose in relative wealth and average consumption. Safer countries benefit from higher wealth and better average terms of trade. Calibrated using the empirical distribution of moments of GDP-growth across countries, the model suggests non-negligible quantitative effects. We offer an algorithm for the correct solution of the equilibrium using DSGE models under complete markets, at higher order of approximation.

Impact of idiosyncratic and macroeconomic risks on capital structure: evidence from SADC countries

PurposeThe purpose of this study is to investigate the impact of idiosyncratic and macroeconomic risks on capital structure on SADC countries.Design/methodology/approachEmploying data from the African Financials database, the analysis is conducted over a ten year period spanning from 2009 to 2018 for 309 companies. Unit Root Fisher Chi-Square test and Granger Causality test were employed to test for unidirectional and bidirectional relationships cross-sectionally. To resolve endogeneity issues, System GMM was used as main topology for panel regression analysis.FindingsThe study confirmed that companies become risk averse when there is an increase in idiosyncratic and macroeconomic risk and therefore take less leverage. According to the perking order theory, a higher variability in earnings shows that the bankruptcy probability amplifies. Hence, institutions with high income employ more internal finance during periods of high idiosyncratic and macroeconomic uncertainty thereby lowering leverage. A positive significant and statistically relationship is also confirmed between idiosyncratic risk and leverage in Botswana, South Africa and Tanzania. Companies with higher leverage make riskier investment in line with the trade-off theory. In short, executives from the SADC region consider more importance to fluctuations in risk while accelerating or diminishing leverage in their capital structure.Originality/valueThe study is among one of the pioneering work underpinning the idiosyncratic risk and macroeconomic risk on capital structure and relying on a large number of companies across the SADC region. In this respect, it adds contribution to the existing literature on risks and capital structure to the socio-economic goals of the SADC region.

The impact of inflation on Islamic banks’ home financing risk: Before and during the COVID-19 outbreak

The COVID-19 outbreak has had a severe impact on nearly all industries, including Islamic banking, which plays a significant role but is exposed to higher risk. This study aims to evaluate the credit risk that Islamic banks in Indonesia have been exposed to related to home financing before and during the COVID-19 outbreak. Panel data are employed covering the period January 2016 to September 2020 on a monthly basis. The data were analyzed using a dynamic panel approach to present a distinct picture of Sharia-compliant property financing before and during the COVID-19 outbreak. In general, the findings show that the macroeconomic variable reflected by regional inflation has had a different influence in the two periods, with Islamic banks having had much more exposure to macroeconomic risk, specifically in home financing, during the epidemic. In addition, the different influences are also shown by the study results, which show that provinces on Java Island face less risk exposure than those outside Java. In terms of impulse response factors and variance decompositions’ result, before the outbreak, the response of home financing risk to inflation tended to be more stable. However, during the outbreak, the movement has tended to fluctuate more, especially outside Java Island. The same result for variance decompositions shows a similar trend, with inflation tending to have a larger impact during the outbreak. AcknowledgmentsWe are grateful to the Direktorat Penelitian dan Pengabdian Masyarakat (DPPM) Universitas Islam Indonesia No. 001/Dir/DPPM/70/Pen.Unggulan/XII/2020 for support and providing a research grant for the study.

The Global Determinants of International Equity Risk Premiums

We examine the commonality in international equity risk premiums by linking empirical evidence for the international stock return predictability of US downside and upside variance risk premiums (DVP and UVP, respectively) with implications from an international asset pricing framework, which takes the perspective of a US/global investor and features asymmetric global macroeconomic, financial market, and risk aversion shocks. We find that DVP and UVP predict international stock returns through different global equity risk premium determinants: bad and good macroeconomic uncertainties, respectively. Across countries, US investors demand lower macroeconomic risk compensation but higher financial market risk compensation for more-integrated countries.

How Does Capital Account Liberalization Affect Systemic Financial Risks? Evidence from China

Capital account liberalization typically results in higher volumes of capital inflows and outflows for a country, yet abnormal cross-border capital flows may lead to overall financial risk accumulation, in turn causing tremendous damages to the economy. Using a time-varying parameter structural vector autoregression model with stochastic volatility (SV-TVP-SVAR), we identify time-varying effects of capital account liberalization on four types of systemic financial risks in China. Empirical results demonstrate that capital account liberalization, in the short run, can effectively curb the accumulation of macroeconomic and sudden stop risks. On the other hand, capital account liberalization may heighten credit crunch and asset bubble risks to varying degrees. We also find that some important capital account liberalization measures are double-edged: reform policies are likely to increase macroeconomic risk when optimizing the financing structure and reducing credit crunch risk.

Modelling Stock Returns and Risk Management in the Shipping Industry

We estimate the impact of macroeconomic risk factors on shipping stock returns, using a quantile regression (QR) model. We regress the excess return of a portfolio for the container, dry bulk, chemical/gas, oil tanker, and diversified shipping sectors on the world market portfolio excess return, volatility index, and changes in the oil price, exchange rate, and interest rate. The sensitivities of stock returns to the risk factors differ across quantiles and shipping segments and are found to be significant for the volatility index, world market portfolio return, exchange rate, and changes in long-term interest rate with variation over quantiles. This provides evidence of asymmetric and heterogeneous dependence between stock returns and certain macroeconomic risk variables. The results of the study also suggest that standard OLS regression is inadequate to uncover the risk-return relation.

Risk Sharing in a Politically Divided Monetary Union

We document stark asynchronicity across U.S. states, particularly across groups of states whose populations have voted consistently Democrat or consistently Republican in national elections; and we show that the risk-sharing channels of these groups of states differ substantially. However, we find that these groups of states–even swing states, where the role of fiscal flows is small (on par with Europe’s)–do share risk. Indeed, we halve previous estimates of states’ residual risk by using new data to account for sharing risk through changes in population, prices, and durable goods consumption. These findings indicate that political differences alone do not themselves preclude macroeconomic risk sharing within a monetary union.

One-factor model for default rates by loan type

This paper investigates the link between default rates by loan types and the systemic credit risk component. This link is described by a linear model that combines systemic and idiosyncratic contributions. The systemic component is a latent factor that depends directly on the aggregate loan default rate, while the idiosyncratic component drives specific variations of default rates across loan types. By transforming observable risk measures, the model can be econometrically represented as a mixed-effects model, where the systemic and idiosyncratic components represent, respectively, the slope and the intercept that are specific for each loan type individually. The proposed model is illustrated on a panel of defaulted loans of the Association of Serbian Banks. The obtained results show the model's very high power in explaining average default rates for all loan types. Thus, the aggregate default rate plays the role of a unique systemic component that mimics the influence of fundamental macroeconomic risk factors easily, without the necessity to model this relationship explicitly.