Charles-Olivier Amédée-Manesme

• Université Laval

Performance analysis is a key process in finance to evaluate or compare investment opportunities, allocations, or management. The classical method is to compute the market or sub-market returns and volatilities, and then calculate the standard performance measure, namely, the Sharpe ratio. This measure is based on the first two moments of a return...

A paradigm shift of Paris housing returns dynamics This article follows Baroni, Barthélémy and Mokrane [2008]. In their work, the authors propose a factorial model to explain the price dynamics of Paris and its suburbs based on a set of predefined economic and financial variables. The article seeks to bring out the recent changes on the weight of e...

This study addresses the prices heterogeneity of the five first growths of Bordeaux. We apply the quantile regression (QR) approach with market segmentation based on wine bottle price quantiles. We compute the hedonic price of wine attributes for various price segments of the market. This approach is applied to a major data set consisting of approxim...

Standard results about portfolio optimization suggest that the allocation to real estate in a mixed-asset portfolio should be around 15–20%. However, the institutional investors share in real estate is significantly smaller, around 7–9%. Many researches have addressed this point even if as of today no consensus has emerged. In this paper, we built-...

The Cornish–Fisher expansion is a simple way to determine quantiles of non-normal distributions. It is frequently used by practitioners and by academics in risk management, portfolio allocation, and asset liability management. It allows us to consider non-normality and, thus, moments higher than the second moment, using a formula in which terms in...

The computation of Value at Risk (VaR) has long been a problematic issue in commercial real estate. Difficulties mainly arise from the lack of appropriate data, the lack of transactions, the non-normality of returns, and the inapplicability of many of the traditional methodologies. In addition, specific risks remain latent in investors’ portfolios...

Purpose The purpose of this paper is to address the heterogeneity of real estate assets with regard to investment risk measurement, with Paris’ apartment market as a case study. Design/methodology/approach Quantile regression is used to handle the fact that willingness to pay for housing attributes may vary greatly over both space and asset valu...

An important component in the analysis of real estate performance and allocation is the efficient calibration of the distribution of returns. The classical method is to compute market or sub-market returns and volatilities, and to then calculate the standard performance measure, namely the Sharpe ratio. This measure is only based on the first two m...

This paper deals with real estate portfolio optimization when investors are risk averse. In this framework, we examine an important decision making problem, namely the determination of the optimal time to sell a diversified real estate portfolio. The optimization problem corresponds to the maximization of a concave utility function defined on both...

In this paper, the heterogeneity of the Paris apartment market is addressed. For this purpose, quantile regression is applied – with market segmentation based on price deciles – and the hedonic price of housing attributes is computed for various price segments of the market. The approach is applied to a major data set managed by the Paris region no...

Office leases are generally agreed upon for extended terms, with possible options to leave or to renew in favor of the tenant. Tenants who have no options during the life of their lease expect to pay a lower rent than those who do. In this letter, we built up a conceptual framework based on binomial tree for the pricing of options embedded in a lea...

Purpose – The purpose of this paper is to demonstrate the impact of lease duration and lease break options on the optimal holding period for a real estate asset or portfolio. Design/methodology/approach – The authors use a Monte Carlo simulation framework to simulate a real estate asset’s cash flows in which lease structures (rent, indexation patt...

The computation of Value at Risk has traditionally been a troublesome issue in commercial real estate. Difficulties mainly arise from the lack of appropriate data, the non-normality of returns, and the inapplicability of many of the traditional methodologies. As a result, calculation of this risk measure has rarely been done in the real estate fiel...

Purpose The purpose of this paper is to exhibit the impacts of lease duration and lease break options on the optimal holding period for a real estate asset or portfolio Methodology / approach We use a Monte Carlo simulation framework to simulate a real estate assets cash-flows in which lease structures (rents indexation patterns overall lease durat...

The contribution of this thesis is in providing a risk assessment for managing real estate investment. Property investment is subject to numerous specificities among which location, liquidity, investment size or obsolescence and requires active management. These specificities make the traditional approaches to measure the risk difficult to apply. W...

Purpose This paper aims to show that the accuracy of real estate portfolio valuations and of real estate risk management can be improved through the simultaneous use of Monte Carlo simulations and options theory. Design/methodology/approach The authors' method considers the options embedded in Continental European lease contracts drawn up with ten...