I provide a novel framework for machine learning models to ingest quantified soft information during the life of a loan, using cutting-edge natural language processing techniques on salient unstructured text. This soft information, from servicer call transcripts, is not restricted to mere...

Während direkte Immobilieninvestments lang Zeit als renditeträchtig bei gleichzeitig begrenztem Risiko galten, führte den Anlegern insbesondere die gegenwärtige Finanzmarktkrise vor Augen, dass auch Immobilienanlagen insbesondere in den USamerikanischen Häusermarkt mit hohen Risiken...

Using data for six metropolitan housing markets in three countries, this paper provides a comparison of methods used to measure house price bubbles. We use an asset pricing approach to identify bubble periods retrospectively and then compare those results with results produced by six other...

This study proposes the housing "beta" and tests whether the housing "beta" is a significant determinant for stock returns in a multifactor framework. We hypothesize that the housing market is a systematic risk factor given the impact of the housing market on the overall economy and economics...

By using a nonlinear VAR model, we investigate whether the response of the US stock and housing markets to uncertainty shocks depends on financial conditions. Our model allows us to change the response of the US financial markets to volatility shocks in periods of normal and financial distress....

By using a nonlinear VAR model, we investigate whether the response of the US stock and housing markets to uncertainty shocks depends on financial conditions. Our model allows us to change the response of the US financial markets to volatility shocks in periods of normal and financial distress....

Exploiting the unique institutional setting of Hong Kong's real estate market, we uncover a curious ripple effect of haunted houses on the prices of nearby houses. Prices drop on average 19% for units that become haunted, 9% for units on the same floor, 6% for units in the same block, and 1% for...

This paper describes the use of the Faff (2015) pitching template to formulate a research concept into a formal research proposal. It outlines our experience in applying the various sections of the pitch template and the challenges experienced in doing so. Overall the adoption of the pitch...

In this paper, we analyze how tail risk impacts both asset prices and the optimal asset allocation. For this purpose, we consider an equilibrium model with investors exhibiting an empirically well-justifiable decreasing relative risk aversion (DRRA) and different investment horizons. In contrast...

In financial economics, numerous theoretical models explain the relationship between investment risk and return in the capital market, one of the most common being the Capital Asset Pricing Model (CAPM). After reviewing the literature in this area, this study discusses the theoretical background...