Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that...

We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...

This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...

From a banking supervisory perspective, this paper analyses aspects of market risk of an aggregated trading portfolio comprised of the trading books of 11 German banks with a regulatory approved internal market risk model. Based on real, clean profit and loss data and Value-at-Risk estimates of...

We analyze the dynamics of banks’ regulatory capital ratios. Using monthly data of regulatory capital ratios for a subset of large German banks, we estimate the target level and the adjustment speed of the capital ratio for each bank separately. We find evidence that, first, there exists a...

Banks face a tradeoff between diversifying and focusing their loan portfolio. In this paper we carry out an empirical study for the German market to shed light on the question whether or not the benefits of risk sharing outweigh those of specialization. We use data from the Bundesbank's...

Section 340f of the German Commercial Code allows banks to provision against the special risks inherent to the banking business by building hidden reserves. Beyond risk provisioning, these reserves are implicitly accepted as an earnings management device. By analyzing financial statements of...

We use a unique dataset of German banks’ exposure to interest rate risk to derive the following statements about their exposure to this risk and their earnings from term transformation. The systematic factor for the exposure to interest rate risk moves in sync with the shape of the term...

We decompose the change in banks' net interest margin into a change in market-wide bank rates and a change in the balance-sheet composition. Our empirical findings from a detailed data set on German banks' balance-sheet positions, broken down into different maturities, creditors and borrowers...