Ni na voljo v slovenščini.
Geert Bekaert
- 27 November 2023
- WORKING PAPER SERIES - No. 2879Details
- Abstract
- We study how monetary policy and risk shocks affect asset prices in the US, the euro area, and Japan, differentiating between “traditional” monetary policy and communication events, each decomposed into “pure” and information shocks. Communication shocks from the US spill over to risk in the euro area and vice versa, but traditional US shocks show no spillover effects to risk. Both monetary policy and communication shocks spill over to stocks, with euro area information spillovers being particularly strong. US spillovers are consistent with global CAPM intuition whereas euro area spillovers are larger. Importantly, we document a strong global component of risk shocks which is not driven by monetary policy.
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G20 : Financial Economics→Financial Institutions and Services→General
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 11 August 2020
- WORKING PAPER SERIES - No. 2452Details
- Abstract
- Corporate bond returns in the major developed economies increase with risk, as measured by maturity and ratings. From a pricing perspective, we find little to no evidence against the World CAPM model, where the market consists out of equity, sovereign and corporate bonds. However, from a factor model perspective, local factors contribute substantially more to the variation of corporate bond returns than global factors. The factor exposures show intuitive patterns: as ratings worsen, equity betas show a hockey stick pattern, sovereign betas decline monotonically and corporate bond betas increase steeply.
- JEL Code
- G10 : Financial Economics→General Financial Markets→General
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G15 : Financial Economics→General Financial Markets→International Financial Markets
- 14 May 2014
- WORKING PAPER SERIES - No. 1675Details
- Abstract
- We decompose the squared VIX index, derived from US S&P500; options prices, into the conditional variance of stock returns and the equity variance premium. We evaluate a plethora of state-of-the-art volatility forecasting models to produce an accurate measure of the conditional variance. We then examine the predictive power of the VIX and its two components for stock market returns, economic activity and financial instability. The variance premium predicts stock returns while the conditional stock market variance predicts economic activity and has a relatively higher predictive power for financial instability than does the variance premium.
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 9 July 2013
- WORKING PAPER SERIES - No. 1565Details
- Abstract
- The VIX, the stock market option-based implied volatility, strongly co-moves with measures of the monetary policy stance. When decomposing the VIX into two components, a proxy for risk aversion and expected stock market volatility (
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G20 : Financial Economics→Financial Institutions and Services→General
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
- 12 September 2011
- WORKING PAPER SERIES - No. 1381Details
- Abstract
- Using the 2007-2009 financial crisis as a laboratory, we analyze the transmission of crises to country-industry equity portfolios in 55 countries. We use an asset pricing framework with global and local factors to predict crisis returns, defining unexplained increases in factor loadings as indicative of contagion. We find evidence of systematic contagion from US markets and from the global financial sector, but the effects are very small. By contrast, there has been systematic and substantial contagion from domestic equity markets to individual domestic equity portfolios, with its severity inversely related to the quality of countries' economic fundamentals and policies. Consequently, we reject the globalization hypothesis that links the transmission of the crisis to the extent of global exposure. Instead, we confirm the old
- JEL Code
- F3 : International Economics→International Finance
G14 : Financial Economics→General Financial Markets→Information and Market Efficiency, Event Studies, Insider Trading
G15 : Financial Economics→General Financial Markets→International Financial Markets - Network
- Macroprudential Research Network
- 31 March 2009
- WORKING PAPER SERIES - No. 1037Details
- Abstract
- Implied volatility indices should have information about risk parameters, once they are cleansed of the influence of normal volatility dynamics and macro-economic uncertainty. Building on intuition from the dynamic asset pricing literature, we uncover unobserved risk aversion and fundamental uncertainty from the observed time series of the VIX and the credit spreads while controlling for realized volatility, expectations about the macroeconomic outlook, and interest rates. We apply this methodology to monthly data from both Germany and the US. We find that implied volatilities contain a substantial amount of information regarding risk aversion whereas credit spreads have a lot to say about both risk aversion and uncertainty. Moreover, there is a significant comovement in the German and US risk aversion.
- JEL Code
- G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
- 30 September 2008
- WORKING PAPER SERIES - No. 931Details
- Abstract
- We examine international stock return co-movements using country-industry and country-style portfolios as the base portfolios. We first establish that parsimonious risk-based factor models capture the covariance structure of the data better than the popular Heston- ouwenhorst (1994) model. We then establish the following stylized facts regarding stock return co-movements. First, we do not find evidence for an upward trend in return correlations, except for the European stock markets. Second, the increasing importance of industry factors relative to country factors was a short-lived, temporary phenomenon.
- JEL Code
- C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates - Network
- ECB Lamfalussy Fellowship Programme