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The purpose of this paper is to investigate the pricing of European real estate equities. The study examines the main drivers of real estate equity returns and determines whether loadings on systematic risk factors – the excess market return, small minus big (SMB), HIGH minus low (HML) – can explain cross‐sectional return differences in unconditional as well as in conditional asset pricing tests.

The paper draws upon time‐series regressions to investigate determinants of real estate equity returns. Rolling Fama‐French regressions are applied to estimate time‐varying loadings on systematic risk factors. Unconditional as well as conditional monthly Fama‐MacBeth regressions are employed to explain cross‐sectional return variations.

Systematic risk factors are important drivers of European real estate equity returns. Returns are positively related to the excess market return and to a value factor. A size factor impacts predominantly negatively on real estate returns. The results indicate increasing market integration after the introduction of the Euro. Loadings on systematic risk factors have weak explanatory power in unconditional cross‐section regressions but can explain returns in a conditional framework. Beta – and to a lesser extent the loading on HML – is positively related to returns in up‐markets and negatively in down markets. Equities which load positively on SMB outperform in down markets.

The implementation of a liquidity or a momentum factor could provide further evidence on the pricing of European real estate equities.

The findings could help investors to manage the risk exposure more effectively. Investors should furthermore be able to estimate their cost of equity more precisely and might better be able to pick stocks for time varying investment strategies.

This is the first paper to examine the pricing of real estate equity returns in a pan‐European setting.

The current paper aims to expand an empirical assessment of correlations of the stock exchange in Poland with other stock markets and foreign economies. The paper attempts to explore international spillover effects during the current financial crisis.

The study builds upon questionnaires and interviews with practitioners associated with the Polish stock market. The interviewees represent both the advanced and emerging European economies. At this point, analyzing the notions of a cross‐section of experts from different geographical regions increases the value of the findings. The interviewees were asked to comment on a wide range of examples mirroring the reaction of the Warsaw Stock Exchange (WSE) to economic and financial information derived from foreign markets in times of the current financial crisis. An empirical model evaluating the cross‐border implications for the Polish stock market was specified. The model encompassed a wide range of variables and events influencing the performance of the Polish stock market and investors' uncertainty during the nascent financial crisis. Semi‐structured interviews complemented the quantitatively obtained findings and allowed for a gap between theory and practice to be bridged. The qualitative approach injected a dose of realism into the empirical model utilized in the paper and contributed to the value of general findings.

The current paper reports initial responses of the WIG20 indexed equity prices to 41 economic and financial information sets, originating from systemically significant markets. The influence of these sets is ranked in accordance with their influential powers. The ranking indicates which information events are more likely to be prioritized by investors associated with the WSE and which news are ignored in times of the current financial crisis. Henceforth, the findings outline the crisis‐induced changes in the uncertainty of equity investors and the implications for investment decision making processes. Comparing the responses to economic and financial information sets among different stock markets and industries delivers insight into the profitability of the international portfolio diversification based on either the country or industry specific factors.

The paper focuses on the Polish stock market, which is relatively under‐researched by the existing body of literate. However, Poland's stock market became a leading central European bourse during the current financial crisis. Reporting a number of useful and important implications for the practitioners associated with the WSE constitutes the core value of the paper.

The risk-return relationship of real estate equities is of particular interest for investors, practitioners and researchers. The purpose of this paper is to examine, in an asset pricing framework, whether the systematic risk factors play a significantly different role in explaining the returns of listed real estate companies, compared to general equities.

Running the difference test of the Fama-French three-factor and the liquidity-augmented asset pricing model, the authors analyze the effect of the systematic risk factors related to market, size, BE/ME and liquidity in a time-series setting over the period July 1992 to June 2012. By applying the propensity score matching (PSM) algorithm, the authors bypass the “curse of dimensionality” of traditional matching techniques and identify a comparable control sample of general equities, in terms of the relevant firm characteristics of size, BE/ME and liquidity.

The empirical results indicate that European real estate equity returns load significantly differently on the size, value and liquidity factor, while the influence of the market factor seems to be equivalent. In addition, the authors find an economically and statistically significant underperformance of European real estate equities, after accounting for the diverging role of systematic risk factors. Running the conditional time-series regression, the authors further reveal that these findings are predominately caused by the divergent risk-return behavior of real estate equities in economic downturns.

Due to the diverging role of the systematic risk factors in pricing real estate equities, the authors provide evidence of potential diversification benefits for investors and portfolio managers.

This is the first real estate asset pricing study to dissect the unique risk-return relationship of real estate equities by employing propensity score matching.

The paper aims to investigate European equity market integration by analyzing volatility spillover effects between selected indices of high liquidity from the major regulated European equity markets.

In undertaking the empirical analysis, data for major European stock market indices were utilised. The conditional variance of the VAR‐GARCH model for each pair of indices is examined.

The results provide evidence on strong EU equity market integration. The findings in general suggest a high degree of European equity market interconnection. This situation is depicted through strong effects from one European equity market to the other, as well as through significant feedback effects between them.

The high level of interconnection found among the EU stock markets exerts significant influence on the efficient operation of each market and on asset and index pricing, which has therefore to be taken into account by investors and traders as market prices are set in common.

With growing interdependence between financial markets, the goal of this paper is to examine the dynamic interdependence between corporate equity and public real estate markets for the USA and a select group of seven European developed economies under a cross-country framework in crisis and boom market conditions. Dynamic interdependence is related to four measures of market linkages of “correlation, spillover, connectedness and causality”.

This study adopts a four-step investigation. The authors first estimate “time-varying variance–covariance spillovers and implied correlations” modeled with the bivariate BEKK-MGARCH methods. Second, the methods of Diebold and Yilmaz (2012, 2014) measure the conditional volatility spillover-connectedness effects across the corporate equity and public real estate markets based on a decomposition of the forecast error variance. Third, the authors implement nonlinear bivariate and multivariate causality tests to understand the lead-lag dynamics of the two asset markets' returns, volatilities and net directional volatility connectedness across different sample periods. Finally, the authors conclude the study by providing a portfolio hedging analysis.

The authors find that corporate equity and public real estate are moderately interdependent to the extent that their diversification benefits increases in the longer term. Moreover, the authors find increased corporate equity-public real estate causal dependence of the market groups of the European and international portfolios during the GFC and INTERCRISIS periods. The nonlinear causality test findings indicate that the joint information of asset markets can be a useful source of prediction for future innovation of market risks. Additionally, policy makers may also be able to employ conditional volatility and volatility connectedness as two other measures to manage market stability in the cross-asset market dependence during highly volatile periods.

One major take away from this academic research is since international portfolio investors are not only concerned the long-term price relationship but also the correlation structure and volatility spillover-connectedness, the conditional BEKK modeling, generalized risk connectedness analysis and nonlinear causal dependence explorations from this multi-country study can shed fresh light on the nature of market interdependence and magnitude of volatility connectedness effects in a multi-portfolio framework.

The hedging performance analysis for portfolio diversification and risk management indicates that industrial stocks (“pure” equities) are valuable assets that can improve the hedging performance of a well-diversified corporate equity-public real estate portfolio during crisis periods. For policymakers, the findings provide important information about the nature of causal links and predictability during the crisis and asset-market boom periods. They can then equip with this information to manage and coordinate market stability in cross corporate equity-real estate relationships effectively.

Although traditional research has in general reported at least a moderate degree of relationship between the two asset markets, investors' knowledge of stock-public real estate market linkage is somewhat inadequate and confine mostly to broad stocks (i.e. stocks that are exposed to public real estate influence) in a single-country context. In this paper, the authors examine the interdependence dynamics in a multi-country (multi-portfolio) context. A clear understanding their changing market relationships in a multi-country context is of crucial importance for portfolio investors, financial institutions and policy makers. Moreover, since the authors use an orthogonal stock market index, the authors allow global investors to understand the potential diversification benefits from stock markets that are beyond the public real estate market under different market conditions.

Using daily returns from 1980‐2006, we find a significant contemporaneous association between all European Union (EU) equity markets and Germany. There is, however, no significant indication that the German stock market leads or lags the movements in the other EU stock markets. A higher share of imports by Germany from other EU countries, as well as fluctuations and increased volatility in the exchange rate, have negative effects on stock market co‐movements. Conversely, the difference in equity market capitalization with Germany, the greater the foreign direct investment by Germany, and the fact of belonging to the eurozone all contribute to greater stock market co‐movement.

This paper examines bilateral and multilateral cointegration properties of the German stock market and the three most credible Central European candidates for membership in the European Union. The cointegration tests cover the time period of July 5, 1995, to March 27, 2002. The DAX is used to represent the German equity market and the IFCI indices represent the Central European equity markets. Application of the Johansen (1988) cointegration procedure indicates that there is no long‐term relationship between the German market and the Central European markets, either individually or as a group. The Granger‐causality test does reveal some short‐term effects running from the German to the Polish market but no reverse causality. Overall, the results suggest that neither trade, financial liberalization, nor the introduction of the Euro has yet had sufficient impact to bring these markets into a long‐term relationship.

The paper aims to analyse the drivers of changes in European equity tail risk.

For this purpose, the paper uses a panel data model with fixed effects based on five explanatory variables including the VIX, the variance risk premium (VRP), the one-year lagged slope of the riskless term-structure, the default spread and market-specific illiquidity via the measure of Bao et al. (2011). The study analyses a comprehensive database of representative European equity indices from February 2003 to December 2013. The database just contains markets of euro member states to avoid biases due to different currencies. To measure equity tail risk, the ex post realized value-at-risk was used.

There is empirical evidence that the VIX, the VRP and the default spread are key determinants of equity tail risk changes across all markets. Moreover, the results reveal that market-specific illiquidity is an important determinant in PIIGS markets and the one-year lagged term-structure slope in core markets. The analysis also documents that market-specific risk premia are a relevant determinant of equity tail risk changes. Another finding is that risk premia in PIIGS markets are basically higher as in core markets, which reflect the higher risk involved in investing in PIIGS markets.

The paper offers a unique perspective on equity tail risk in aggregate equity markets and helps both investors and risk managers to get a comprehensive understanding of relevant drivers.

The purpose of this paper is to examine the extent to which Central European emerging stock markets (focusing on Poland) have been affected by the recent international financial crisis, and how the current investment climate (barriers, risks, challenges and opportunities) influences appetite for investments in Polish equities. In doing so, the study aims to report timely findings in relation to the determinants of the safety and profitability of international portfolio diversification to the Polish stock market.

Based on qualitative empirical research, the authors analyse the differences between the foreign (UK) and domestic (Poland) investors' views on equity investments in Poland. The study builds on questionnaires and interviews with practitioners associated with the Polish stock market.

The authors report that the global financial crisis influenced changes to domestic and international investors' appetite for risk related to equity investments in emerging stock markets: investors are more prudent about emerging markets but the Polish stock market has shown substantial growth potential and positively distinguished itself from other Central European stock exchanges; particular types of investment risks associated with equity investments in the Polish stock market have abated. Polish equities are an attractive component of the international portfolio diversification, provided that trading strategies are adjusted to the contemporary investment environment.

This paper addresses the absence of the academic literature devoted to the analysis of equity investments in the contemporary Central European emerging stock markets. The authors discuss the differences in appetite for risk between the UK and Polish investors and assumptions about investments in Poland. The authors also contribute to the international debate on investor protection and regulations that can improve investment processes.

The purpose of this paper is to focus on Initial Public Offering (IPO) investments, performance and activity in times of the global financial crisis.

The paper utilizes, in a pioneering attempt, a modified regression model that is widely used in medical research (i.e. measuring the effectiveness of painkillers, aspects of breastfeeding, cancer research) but proved efficient and informative for the studied area. Embarking on Cox's Hazard Model perfectly mirrored investors' approach to IPO investments. Henceforth, the empirical findings reported in the paper became practical for IPO investors. The quantitative findings are then discussed with high‐profile practitioners, in order to inject more realism into the study. The qualitative research framework expands the empirical analysis to cover significant issues related to IPO activities and proves invaluable in the process of constructing practical implications.

Since the main purpose of the paper is to test the profitability of targeting IPOs from the Polish stock market, the main research question attempted in the paper refers to finding out whether IPO investments constitute an attractive alternative for direct equity investments, especially during the global financial turmoil. On this occasion, the current paper advises on trading strategies that involve targeting IPOs and shield investors from experiencing crisis‐induced losses. These findings remain topical as they contribute to the current debate on tailoring investment approaches to the global financial crises. Furthermore, focusing on the issues related to the overblown deficit reported by the transition economy delivers novel and important implications for policymakers striving to stabilize budget in the aftermath of the nascent financial crisis.

What distinguishes the paper from previous studies is the original methodology, three‐dimensional approach to IPO activities (adopting a company's, investor's and policymaker's perspectives) and focusing on the systemically important European market that somehow was overlooked by previous studies in this area but recently vaulted into prominence among international investors who regard the Polish stock market as a regional leading bourse.