We analyze the relationship between ask and transaction prices in the Swiss residential real estate market over the 2005-2015 period. First, we present strong evidence that ask and transaction prices are co-integrated across different market segments, but they do not Granger-cause one another....

We assess the quantitative implications of the re-use of collateral on financial market leverage, volatility, and welfare within an infinite-horizon asset-pricing model with heterogeneous agents. In our model, the ability of agents to re-use frees up collateral that can be used to back more...

We analyse the consequences of predicting and exploiting financial bubbles in an agent-based model, with a risky and a risk-free asset and three different trader types: fundamentalists, noise traders and "dragon riders" (DR). The DR exploit their ability to diagnose financial bubbles from the...

This paper provides evidence on the strategic lending decisions made by banks facing a negative funding shock. Using bank- rm level credit data, we show that banks reallocate credit within their domestic loan portfolio in at least three different ways. First, banks reallocate to sectors where...

Market design matters when heterogeneous borrowers roll over loans, facing funding shocks. Borrower anonymity is a key feature of various financial markets, such as short term, interbank lending markets. We show that anonymous markets experience systemic runs for large shocks, but provide...

We develop a methodology to measure the capital shortfall of commercial banks in a market downturn, which we call stressed expected loss (SEL). We simulate a market downturn as a negative shock on interest rate and credit market risk factors that reflect the banks' market-sensitive assets. We...

We quantify the capital shortfall that results from a global financial crisis by using a macro-finance dynamic stochastic general equilibrium model that captures the interactions between the financial and real sectors of the economy. We show that a crisis similar to that observed in 2008...

Inspired by the question of identifying the start time τ of financial bubbles, we address the calibration of time series in which the inception of the latest regime of interest is unknown. By taking into account the tendency of a given model to overfit data, we introduce the Lagrange...

We develop a strong diagnostic for bubbles and crashes in bitcoin, by analyzing the coincidence (and its absence) of fundamental and technical indicators. Using a generalized Metcalfe's law based on network properties, a fundamental value is quantified and shown to be heavily exceeded, on at...

We propose a dynamic Rational Expectations (RE) bubble model of prices with the intention to exploit it for and evaluate it on optimal investment strategies. Our bubble model is defined as a geometric Brownian motion combined with separate crash (and rally) discrete jump distributions associated...