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We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index into uncertainty about sanctions against Russia, energy policy and other dimensions. We then estimate a VAR model with daily financial and macroeconomic data and identify an exogenous uncertainty shock. The increase in uncertainty has strong effects on financial markets and causes a significant decline in economic activity as well as an increase in expected inflation. We find the effects of uncertainty to be particularly strong in the first months of the war.
The syndicated loan market, as a hybrid between public and private debt markets, comprises financial institutions with access to valuable private information about borrowers as a result of close bank-borrower relationships. In this paper, we seek empirical evidence for the costs of these relationships in a sample of UK syndicated loan contracts for the time period 1996 through 2005. Using detailed financial data for both borrowers (private and public companies) and for financial institutions, we find that undercapitalized banks charge higher loan spreads for loans to opaque borrowers using various measures for borrower opaqueness and controlling for bank, borrower and loan characteristics. We further analyze this hold-up effect over the business cycle and find that it only prevails during recessions. In expansion phases, however, we do not find evidence for banks exploiting their information monopoly. This finding is consistent with theories on bank reputation in bank loan commitments. Ambiguity about borrower financial health, which induces the information monopoly in the first place, also gives banks the discretion to exploit or not exploit informational captured borrowers. Our findings are both statistically and economically significant and robust to alternative bank and macroeconomic risk proxies. We address potential concerns about unobserved borrower heterogeneity exploiting the panel data nature of our sample. Using firm-bank fixed effect regressions, we find supporting evidence for our theoretical framework. JEL Classifications: G14, G21, G22, G23, G24 Keywords: Syndicated loans; Hold-up; Lending relationships; Business cycle
A common practice in empirical macroeconomics is to examine alternative recursive orderings of the variables in structural vector autogressive (VAR) models. When the implied impulse responses look similar, the estimates are considered trustworthy. When they do not, the estimates are used to bound the true response without directly addressing the identification challenge. A leading example of this practice is the literature on the effects of uncertainty shocks on economic activity. We prove by counterexample that this practice is invalid in general, whether the data generating process is a structural VAR model or a dynamic stochastic general equilibrium model.
In this paper, I introduce lumpy micro-level capital adjustment into a sticky information general equilibrium model. Lumpy adjustment arises because of inattentiveness in capital investment decisions instead of the more common assumption of non-convex adjustment costs. The model features inattentiveness as the only source of stickiness. I find that the model with lumpy investment yields business cycle dynamics which differ substantially from those of an otherwise identical model with frictionless investment and are much more consistent with the empirical evidence. These results therefore strengthen the case in favour of the relevance of microeconomic investment lumpiness for the business cycle.
We selectively survey, unify and extend the literature on realized volatility of financial asset returns. Rather than focusing exclusively on characterizing the properties of realized volatility, we progress by examining economically interesting functions of realized volatility, namely realized betas for equity portfolios, relating them both to their underlying realized variance and covariance parts and to underlying macroeconomic fundamentals.