Positive feedback trading and long-term volatility links: evidence from real estate markets of USA,Be/Lux and Switzerland

This article investigates the positive feedback trading strategies in the real estate markets of USA, Belgium/Luxembourg (Be/Lux) and Switzerland, linking these strategies with long-term volatility. The results are in favour of a positive feedback trading strategy which negatively influences investors' risk-return position on real estate markets.     

The role of transaction costs and risk aversion when selecting between one and two regimes for portfolio models

Estimation of the inputs is the main problem when applying portfolio analysis, and Markov regime-switching models have been shown to improve these estimates. We investigate whether the use of two-regime models remains superior across a range of values of risk aversion and transaction costs, in the presence of skewness and kurtosis and no short sales. Our results for US data suggest that, due to differences in their risk preferences and transactions costs, most retail investors may prefer to use one-regime models, while investment banks may prefer to use two-regime models.     

Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach

This article examines the impact of stock market news on the foreign exchange markets of USA, Canada and UK, employing an innovative extension of the asymmetric threshold model of Apergis and Miller (2006). Under this framework we can disentangle the reaction of foreign exchange market to bad or good news and small or large news of stock returns. Our comprehensive daily data-set spans the period from January 1990 to June 2014. Using a cointegration and error correction model, we document the existence of a causal relationship between stock market and foreign exchange markets. Most interestingly, our results derived from the asymmetric threshold model confirm that the relationship between stock and foreign exchange markets is sensitive to short-term good or bad news and short-term small or large news. Our findings entail significant implications for policymakers, governments, risk managers and international investors.     

Fiscal adjustments and asset price changes

This paper examines the links between asset price movements and fiscal adjustments. Our findings suggest that higher asset prices improve fiscal balances and contribute to sustained consolidation. This refers in particular to real equity and real residential property prices. We find evidence that revenue windfalls due to higher residential, commercial property and equity prices can be sustained, thus, improving revenue and primary balances. There is evidence of a positive association of some asset prices changes with expenditure adjustments. Fiscal adjustments and in particular sharp spending cuts are more likely to be successful if undertaken in periods of dire budgetary and economic conditions.     

Fiscal policy and financial market movements

This paper estimates fiscal policy reaction function in order to investigate the links between financial market movements and fiscal policy outcomes. An increase in asset prices affects in a positive and significant manner primary balances, with the response reflecting both an increase in government revenues and a fall in government spending. The most important impact on fiscal balances is due to changes in residential property prices. Changes in equity and commercial property prices are also important determinants of fiscal balances. Our findings suggest that the steepening of the slope of the yield curve contributes to expenditure based fiscal discipline.     

A monetary analysis of the Drachma/ECU exchange rate determination, 1980–1991

The validity of the monetary approach to the Drachma/ECU exchange rate determination is investigated through cointegration, impulse response and variance decomposition analysis. The empirical results reported confirm recent findings that the monetary approach may be interpreted as a long-run equilibrium condition with highly complex short-run dynamics. First version received: November 1997/Final version received: May 2000     

Commercial Mortgage Default: A Comparison of Logit with Radial Basis Function Networks

This article explores the use of artificial neural networks in the modeling of foreclosure of commercial mortgages. The study employs a large set of individual loan histories previously used in the literature of proportional hazard models on loan default. Radial basis function networks are trained (estimated) using the same input variables as those used in the logistic. The objective is to demonstrate the use of networks in forecasting mortgage default and to compare their performance with that of the logistic benchmark in terms of prediction accuracy. Neural networks are shown to be superior to the logistic in terms of discriminating between good and bad loans. The study performs sensitivity analysis on the average loan and offers suggestions on further improving prediction of defaulting loans.     

A representation of consistent binary relations

We give sufficient conditions for the existence of a numerical representation which is equivalent to consistency as defined by Suzumura (Economica 43:381–390).