International Diversification Strategies for Direct Real Estate

This paper will disentangle the performance of international real estate into property type performance and region selection. This helps to create an international diversification strategy for direct real estate. We use constrained cross-section regression with dummy variables for regions and property types to measure the best risk reducer. We analyze the impact of currency changes on total returns by looking at a hedged and un-hedged portfolio, both stock and equally weighted. The findings show that geographic factors have the largest influence on the volatility of international real estate returns. The average variance of the regional effects is higher than the property type effects and therefore the regional effects have a higher influence on the variation of the total portfolio. However, the regional effects are less stable through time, compared with the variance and correlation of the property type effects. Also the property type effect seems to become a more important factor for the return over time, especially when the return is expressed in local currency.     

Portfolio reallocation and exchange rate dynamics

This paper explains exchange rate dynamics by linking financial customers’ foreign exchange order flow with their dynamic portfolio reallocation. For any currency pair in a particular period, one currency has higher assets return than the other and can be considered the high-return-currency (HRC). Financial institutions attempt to hold more HRC assets when they become more risk-loving or the relative return of the assets is expected to increase. Such a portfolio reallocation generates buy order toward the HRC and the currency appreciates. As the HRC changes over time, the direction that the relative return and risk appetite affect the exchange rate varies in different regimes.     

The introduction of the Euro and its effects on portfolio decisions

Examining investment behavior related to the Euro introduction, we address the relevance of different investment determinants. With the advent of the currency union two potential sources of portfolio reallocation can be distinguished: First, the diminishment of exchange rate risk and transaction costs within the EMU. Second, the increase of correlation of EMU returns so that diversification benefits decreased. We test for structural breaks in the holdings of German investors and estimate a market model to account for the two effects. A significant decrease in national and an increase in EMU and rest-of-the-world investments can be observed. Comparing the observed holdings with benchmark portfolios, we find that investment home bias has diminished since the Euro introduction.     

Marketing Period Risk in a Portfolio Context: Theory and Empirical Estimates from the UK Commercial Real Estate Market

The role of selling (or marketing) period uncertainty in understanding risk associated with property investment is examined in this paper. Using an approach developed by Lin (2004), and Lin and Vandell (2001, 2005), combined with a statistical model of UK commercial property transactions, we show that the ex ante level of risk exposure for a commercial real estate investor is around one and a half times that obtained from historical statistics. The risk related to marketing time uncertainty can be reduced by constructing a portfolio. We find that at least ten properties are necessary to reduce this risk, assuming independence between marketing period risk and price risk. These findings have important implications for mixed-asset portfolio allocation decisions.      

Risk and wealth in a model of self-fulfilling currency attacks

Market participants’ risk attitudes, wealth and portfolio composition influence their positions in a pegged foreign currency and, therefore, may have important effects on the sustainability of currency pegs. This paper analyzes such effects in a global game model of currency crises with continuous action choices, generating a rich set of theoretical comparative static predictions related to often discussed but rarely modelled accounts of currency attacks. The model can be solved in closed form and the methods could be used to study other economic issues in which coordination and risk aversion play important roles.     

Transition to the Euro and its impact on country portfolio diversification

By examining the impact of the introduction of the Euro on stock markets and on country diversification within the Eurozone, the evidence does not suggest a high risk to the stock market to justify a risk premium as a result of currency union. Although the Euro market integration has increased inter-country correlations, it does not preclude gains from international diversification, which partially rely on the non-Eurozone countries for an optimal portfolio in a mean-variance framework. Furthermore, the empirical evidence supports that there is a significant stationarity of average correlations over time between pre-Euro and post-Euro periods, and it has improved since the introduction of the Euro. Also, results show that the Euro produced a change in volatility with a different pace within the Eurozone vis-à-vis non-Eurozone countries, to support a direct and opposite relationship between volatility and correlation.     

Valuation effects and long-run real exchange rate dynamics

This paper uses the Johansen test for cointegration to check the prediction of a portfolio balance model that predictable valuation effects are associated with a saddle-path dynamic relationship between the net foreign asset position and the real exchange rate. The analysis uses newly constructed quarterly series on the net foreign position as a percentage of the nominal gross domestic product, together with data on real effective exchange rate indices for a sample of developed countries which borrow in their own currency. The results indicate that the net foreign asset position and the real exchange rate are not cointegrated for all the countries in the sample. The rejection of saddle-path dynamics suggests that predictable valuation effects are quantitatively small in developed countries. The rejection of cointegration suggests that the net foreign asset position is not a determinant for long-run real exchange rates in developed countries.     

Monitoring and Forecasting Currency Crises

Can we improve forecasts of currency crises by using a large number of predictors? Which predictors should we use? This paper evaluates the performance of traditional leading indicators and a new Diffusion Index (DI) method as Early Warning Systems to monitor the risk and forecast the likelihood of the recent currency crises in East Asia. We find that the DI performs quite well in real time. For most countries, the forecasted probabilities of a crisis increase substantially around the actual time of the crisis. The economic variables that help in forecasting future crises are output growth, interest rates and money growth.     

Can hedging tell the full story? Reconciling differences in United States aggregate- and industry-level exchange rate risk premium

While the importance of currency movements to industry competitiveness is theoretically well established, there is little evidence that currency risk impacts US industries. Applying a conditional asset pricing model to 36 US industries, we find that all industries have a significant currency premium that adds about 2.47 percentage points to the cost of equity and accounts for approximately 11.7% of total risk premium in absolute value. Cross-industry variation in the currency premium is explained by foreign income, industry competitiveness, leverage, liquidity, and other industry characteristics, while its time variation is explained by US aggregate foreign trade, monetary policy, growth opportunities, and other macro variables. The results indicate that methodological weakness, not hedging, explains the insignificant industry currency risk premium found in previous work, thus resolving the puzzle that currency risk premium is important at the aggregate stock market level, but not at the industry level.     

Optimizing international portfolios with options and forwards

We develop a stochastic programming model to address in a unified manner a number of interrelated decisions in international portfolio management: optimal portfolio diversification and mitigation of market and currency risks. The goal is to control the portfolio’s total risk exposure and attain an effective balance between risk and expected return. By incorporating options and forward contracts in the portfolio optimization model we are able to numerically assess the performance of alternative tactics for mitigating exposure to the primary risks. We find that control of market risk with options has more significant impact on portfolio performance than currency hedging. We demonstrate through extensive empirical tests that incremental benefits, in terms of reducing risk and generating profits, are gained when both the market and currency risks are jointly controlled through appropriate means.