We design average portfolio insurance (API) strategies with an investment floor and a buffer that is a power of a geometric average of the underlying asset price. We prove that API strategies are optimal for investors with hyperbolic absolute risk aversion who become progressively more risk...

This paper is the first to utilize a direct test for periodic, partially collapsing speculative bubbles in US REIT prices. A long history of data is employed for the All, Mortgage and Equity REIT categories. This approach is more powerful than existing tests and is based on the formulation of a...

We present a comprehensive framework for comparing the merits of alternative portfolio insurance strategies in realistic contexts. Our findings add generality to previous results comparing option based and constant proportionality portfolio insurance strategies (OBPI and CPPI). The optimal OBPI...

The aim of this paper is to determine whether forward-looking option- implied returns forecasts lead to better out-of-sample portfolio performance than conventional time series models. We consider a simple two-asset setting with a risk-free asset and the S&P 500 index the risky asset with...

This paper represents the first study of retail deposit spreads of UK financial institutions using stochastic interest rate modelling and the market comparable approach. By replicating quoted fixed deposit rates using the Black Derman and Toy (1990) stochastic interest rate model, we find that...

We study the role of diversification in reducing the volatility of corporate bond returns induced by changes in credit spreads. Specifically, we look at how credit risk can be diminished when a portfolio is diversified across countries, industry sectors, maturities, seniority types and credit...

While style analysis has been studied extensively in equity markets, applications of this valuable tool for measuring and benchmarking performance and risk in a real estate context are still relatively new. Most previous real estate studies on this topic have identified three investment...

Most banks employ historical simulation for Value-at-Risk (VaR) calculations, where VaR is computed from a lower quantile of a forecast distribution for the portfolio’s profit and loss (P&L) that is constructed from a single, multivariate historical sample on the portfolio’s risk factors....

We quantify and endogenize the model risk associated with quantile estimates using a maximum entropy distribution (MED) as benchmark. Moment-based MEDs cannot have heavy tails, however generalized beta generated distributions have attractive properties for popular applications of quantiles....

Fixed income analysts are accustomed to monitoring a few benchmark yields on a continuous basis and to providing point estimates for these yields, or for a combination of them. Yet, the optimisation of fixed income portfolios requires an accurate forecast of not only a few benchmark yields, but...