Purpose of the paper The Basel Committee regulations require the estimation of Value-at-Risk at 99% confidence level for a 10-trading-day-ahead forecasting horizon. The paper provides a multivariate modelling framework for multi-period VaR estimates for leptokurtic and asymmetrically distributed real-estate portfolio returns. The purpose of the paper is to estimate accurate 10-day-ahead 99% VaR...

Although property markets represent a large proportion of total wealth in developed countries, the real-estate derivatives markets are still lagging behind in volume of trading and liquidity. Over the last few years there has been increased activity in developing derivative instruments that can be utilised by asset managers. In this paper, we discuss the problems encountered when using property...

This paper presents the insights gained from applying data mining techniques, in particular neural networks for the purposes of developing an intelligent model used to predict real estate property values based on variety of factors. A dataset of over one thousand transactions in real estate properties was used. The dataset included 15 variables obtained from the multiple listing system (MLS) da...

This paper re-examines the performance of REITs, stocks, and fixed-income assets based on the preferences of risk-averse and risk-seeking investors using mean-variance and stochastic dominance approaches. Our findings indicate no first-order stochastic dominance and no arbitrage opportunity among these assets. However, our stochastic dominance results reveal that in order to maximize their expe...

The purpose of this paper is to analyze the dynamic impact of Interest Rate Policy on the Real Estate Market. In this paper we constructed a vector autoregression (VAR) model using five indicators and analyzed the response of the real estate market to the impulse of interest rate policy based on the monthly data from January 2003 to September 2010 in China. The results show that the Central Ban...

Real estate market development and its sustainability are closely associated with history and development. Numerous problems have existed in society in the course of the years, including socio-economic problems. Real estate market development is also closely related to economic development, philosophical issues, and the analysis of these issues over the course of time makes it possible to explo...

This paper examines how asset risk impacts corporate investment and financing decisions. We derive a general model that incorporates risk, adjustment cost, and depreciation features of assets-in-place into investment decisions. The model suggests that the risk and adjustment cost of assets-in-place reduce both corporate investment and financing. We empirically test the model in a panel of US fi...

We discuss three industry-level changes in the US residential real estate industry due, in part, to the take up and uses of information and communication technologies (ICT): (1) changes in the processes of transacting residential real estate, (2) changing roles for information, and (3) changing nature of intermediation, with the real estate transaction as more complex than the seller–agent–buye...

We investigate the role of real estate in a mixed-asset portfolio when the maximum drawdown (hereafter MaxDD), rather than the standard deviation, is used as the measure of risk. In particular, we analyse whether the discrepancy between the optimal allocation to real estate and the actual allocation by institutional investors is less when a Return/MaxDD framework is used. The empirical analysis...

In this paper, we propose a novel method for real estate price prediction using web new media sentiments by incorporating human searching behaivor on the web. By combining online daily news’ sentiments and Google search engine query data, we construct a web news content and online search behavior-based integrated model for real estate prediction. Besides these factors, real estate price time se...