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The outlook for investment yields is one of the key uncertainties facing the real estate investor at any time. By examining the relationship of yields to other factors across a large number of office markets, in many countries, over five years, the paper aims to establish relationships with important explanatory factors.

The paper uses a panel estimation to pick up both the relationship between yields and the explanatory variables both in different locations and at different times. By using both a time and location dimension it is thought that a “truer” generic relationship can be estimated. Using this method aggregates all the available information simultaneously to establish the relationship between office yields and explanatory variables.

The results show that: locations with higher short‐term interest rates will on average have higher yields; liquid markets tend to have lower yields and similarly, transparent markets and markets with longer leases have lower yields.

As well as the practical applications of this analysis, it makes an academic contribution as yields remain poorly understood and most studies examine time series data in only one country. This international study is the fist of its kind.

The financial and economic turmoil that resulted from the Global Financial Crisis (GFC), included a marked increase in the volatility in real estate markets. Property asset prices were impacted by the real economy and market sentiment, particularly concerning the determination of risk. In an economic downturn, the perception of investment risk becomes increasingly important relative to overall total returns, and thus impacts on yields and performance of assets. In a recovery phase, and particularly within an environment of historically low government bonds, risk and return compete for importance. The aim of this paper is to assess the interrelationships and impacts on pricing between real estate risk, yield modelling outcomes and market sentiment in selective European city office markets.

This paper specifically considers the modelling of commercial property pricing in relation to the appetite for risk in the financial markets. The paper expands on previous work by determining a specific measure of risk pricing in relationship to changing financial market sentiment. The methodology underpinning the research specifically examines the scope for using national and international risk pricing within specific real estate markets in Europe.

This paper addresses whether there is a difference between the impact of risk on the pricing of real estate in international versus regional cities in Europe. The analysis, therefore, determines which city centre office markets in Europe have been most impacted by globalisation including the magnitude on real estate prices and market volatility. The outcome of the paper provides important insights into how changes in risk preferences in the international capital markets have driven and continues to drive yield movements under different market conditions.

The paper considers the driving forces which have led to the volatile movements of yields, emanating from the GFC.

This paper considers the property market effects on pricing of commercial real estate and the drivers in selected European cities.

The outcome of the paper provides important insights into how changes in risk preferences in the international capital markets have driven and continue to drive the yield movements in different real estate markets in Europe.

In the light of past financial and economic turmoil, there has been a marked increase in the volatility in real estate markets. This has impacted on the pricing of property assets, partly through market sentiment and particularly concerning risk. It also limits modelling accuracy model accuracy. The purpose of this paper is to create a new variable and model to enhance analysis of what drives real estate yields incorporating market sentiment to risk.

This paper specifically considers the modelling of property pricing within a volatile economic environment. The theoretical context begins by analysing the relationship between property yields and government bonds. The analytical context then moves on to specifically include a measurement of risk which stresses its role and importance in investment markets since the Global Financial Crisis. The model thus incorporates macroeconomic and real estate data, together with an international risk multiplier, which is calculated within the paper.

The paper finds the use of measurements of market sentiment and risk are more powerful tools for modelling yields than previous techniques alone.

This is an initial paper outlining the creation of sentiment and risk measurements in the financial market and showing an example of its application to a commercial real estate market. The implication is that this could add a major new explanatory variable to modelling of yields.

The paper highlights the importance of risk in the pricing of commercial real estate, over and above normal variables. It highlights how this can help explain over and undershooting of yields within commercial real estate which would be of great importance in the investment world.

This paper attempts to explicitly measure market sentiment, pricing of risk and how this impacts real estate pricing.

This paper aims to explore whether the market perceives liquid international sovereign sukūk as distinct from comparable bonds and as an asset class of their own that could shield investors against turbulences in the bond markets.

If sukūk and bonds belong to the same asset class, then basically the same supply and demand factors determine inverstors’ activities in both markets. This should lead to matching patterns of yield curves for sukūk and bonds comparable in terms of issuers, maturity, currency, size, liquidity and rating. Only a rough analysis of holding and trading patterns of conventional and Islamic sukūk investors was possible, as most sukūk market transactions are “over-the-counter” and not registered in the Bloomberg database. However, price information could be used for an analysis of yield curves of liquid sovereign sukūk and comparable bonds.

Conventional investors participate in the sukūk market, but their influence on prices is rather small, as they act primarily as intermediaries (i.e. market makers) as opposed to price setters. The yield curves of the selected bonds and sukūk widely match. This suggests that bonds and liquid sovereign sukūk belong to the same asset class. Furthermore, as turbulences in conventional markets are also reflected in the sukūk markets, Islamic investors themselves play a role in the transmission.

The study of holding patterns and of the market perception of sovereign sukūk and bonds required a focus on four countries with deep and (potentially) liquid sukūk markets (Malaysia, Turkey, Indonesia and Hong Kong) and US$-denominated international securities. Some suitable combinations of sukūk and bonds are relatively young issuances with time series data for two to three years only. Data on holding patterns are sketchy and require interpretations based on market knowledge.

Parallel yield curves indicate that conventional investors do not perceive international sovereign sukūk as an asset class of their own distinct from conventional government bonds. This market perception of liquid international sovereign sukūk could have an impact on other types of sukūk (e.g. on international corporate sukūk) if sovereign sukūk are taken as pricing and performance benchmarks.

The paper sheds light on institutional investor behavior in the bond and sukūk markets and outlines data availability issues that constrain quantitative analyses in over-the-counter markets.

The purpose of this paper is to estimate the bond market linkages between emerging markets (EM) and advanced markets (AM) yields by estimating yield equations for EMs as a function of AM yields and illustrating the quantitative macroeconomic effects on EMs of global yield shocks in a multi-country dynamic stochastic general equilibrium modeling model.

The research used a monthly sample of 45 advanced and EM economies covering the period 1998Q1 to 2010Q6. In this paper, the authors have shown that, indeed, there is a spillover effect from AD to EM countries and that most transmission channels, although they vary in significance, are all economically relevant. The main results of the paper underline the importance of international spillover across countries in the financial market. The strongest international transmission of shocks to EM is from the USA and the UK.

The authors find evidence that shocks in the volatility index and commodity fuels have a positive and significant impact on EM bond yield. Moreover, shocks in three-month US treasury bills, credit default swap, the London gold price and the Brent petrol price have a significant negative impact on EM bond yield. Finally, the result shows that global external shocks are found to be significant in determining bond yield and causing spillover into the EM.

These findings are especially important for policy makers in understanding the transmission of shocks in the bond market across different countries, as well as for risk management.

To investigate the role of domestic and foreign economic policy uncertainty (EPU) in driving the corporate bond yields in emerging markets.

The study utilizes monthly data from January 2008 to June 2023 from the selected emerging economies. The data analysis is conducted using univariate, bivariate and multivariate statistical techniques. The study includes bond market liquidity and global volatility (VIX) as control variables.

Domestic EPU has a significant role in driving corporate bond yields in these markets. The study finds weak evidence to support the role of the USA EPU in influencing corporate bond yields in emerging economies. Domestic EPU holds more weight and influence than the EPU originating from the United States of America.

The findings provide useful insights to policymakers about the potential impact of policy uncertainty on corporate bond yields and enable them to make informed decisions regarding economic policies that maintains financial stability. Understanding the relationship between EPU and corporate bond yields enables investors to optimize their investment decisions in emerging market economies, opens the scope for further research on the interaction between EPU and volatility and other attributes of fixed income markets.

Focuses specifically on the emerging market economies in Asia, providing an in-depth analysis of the dynamics and challenges faced by these countries, Explores the influence of both domestic and the USA EPU on corporate bond yields in emerging markets, offering valuable insights into the transmission channels and impact of EPU from various sources.

Although it has often been studied in finance research, the relationship between dividend yields and stock returns remains an unresolved issue, especially in the Korean stock market. When firms continue to pay non-decreasing dividends for three or five years, they may establish a dividend reputation, which could affect this relationship. The author found firms that pay more dividends, larger firms, older firms, more profitable firms, less leveraged firms, firms with less volatile returns, firms with foreign holdings of more than 5%, and firms with more concentrated ownership build dividend reputations. The author also found that the relationship between dividend yields and future stock returns depends on a firm’s dividend reputation. The evidence shows that when firms with higher yields have dividend reputations, they produce higher future returns, whereas there is no significant relationship between yields and returns for firms with no reputation. These results are inconsistent with the findings of studies that use developed market data. In addition, when larger firms with higher growth potential and firms with less concentrated ownership have dividend reputations, future returns are higher.

The purpose of this paper is to examine the variation and dispersion of prime retail yields in eight Asia‐Pacific centres. It seeks to provide empirical evidence on the significance of real estate and capital market influences as systematic drivers of retail yields in the sample of eight cities. The aim is to build a model that enables market participants to obtain base case yield forecasts.

A panel model is deployed in this study utilising a database of yields of eight years (2001‐2007). The small number of observations for retail yields across cities is addressed with this approach, which combines time‐series and cross‐section data. A fixed‐effect specification allows for city specific influences that partially capture the heterogeneity of cities in the sample. Within this framework the influence of time varying factors across markets and random effects on yields is examined.

The empirical estimates established significant influences from real rent growth and interest rates on retail yields explaining 78 per cent of their variation when allowed for fixed effects. Systematic time influences and market size are not significant. Retail yields are found fairly sensitive to long‐term interest (LTI) rates with 1 per cent change in LTI rates resulting in an over 80 basis points shift in yields. In general, investors should be aware of interest rate shocks as these can move retail yields in the region significantly. Based on the actual and simulated values for 2007 Shanghai and Hong Kong are broadly fairly priced. In Tokyo, Sydney and Singapore retail yields are somewhat lower than the simulated values, which are attributed to greater liquidity and transparency in these markets than indicating over‐pricing. In Delhi, the prime yield above the actual a sign of a possible outward movement is found. Beijing appears under‐priced. Finally, in Mumbai, which has the highest yield in the sample, the simulated yield is below actual as per 2007. An adjustment may not be expected as this difference is attributed to the pricing of supply risks in this market.

This study addresses the dearth of research work on retail yields in the Asia‐Pacific region. Through the panel methodology proposed market participants can obtain fundamentals‐based forecasts for prime retail yields in the sample of the eight cities, understand the exposure to interest rate movements and make calls as to whether markets are mispriced. The study shows that pooling data and panel techniques represent a good option to study market dynamics in situations of small datasets.

Might the impact of the financial stress on exchange markets be asymmetric and exposed to regime changes? Departing from the existing literature, highlighting that the domestic and foreign financial stress in terms of money market have substantial effects on exchange market, this paper aims to investigate the impacts of the bond yield spreads of three emerging countries (Mexico, Russia, and South Korea) on their exchange market pressure indices using monthly observations for the period 2010:01–2019:12. Additionally, the paper analyses the impact of bond yield spread of the US on the exchange market pressure indices of the three mentioned emerging countries. The authors hypothesized whether the negative and positive changes in the bond yield spreads have varying effects on exchange market pressure indices.

To address the research question, we measure the bond yield spread of the selected countries by using the interest rate spread between 10-year and 3-month treasury bills. At the same time, the exchange market pressure index is proxied by the index introduced by Desai et al. (2017). We base the empirical analysis on nonlinear vector autoregression (VAR) models and an asymmetric quantile-based approach.

The results of the impulse response functions indicate that increases/decreases in the bond yield spreads of Mexico, Russia and South Korea raise/lower their exchange market pressure, and the effects of shocks in the bond yield spreads of the US also lead to depreciation/appreciation pressures in the local currencies of the emerging countries. The quantile connectedness analysis, which allows for the role of regimes, reveals that the weights of the domestic and foreign bond yield spread in explaining variations of exchange market pressure indices are higher when exchange market pressure indices are not in a normal regime, indicating the role of extreme development conditions in the exchange market. The quantile regression model underlines that an increase in the domestic bond yield spread leads to a rise in its exchange market pressure index during all exchange market pressure periods in Mexico, and the relevant effects are valid during periods of high exchange market pressure in Russia. Our results also show that Russia differs from Mexico and South Korea in terms of the factors influencing the demand for domestic currency, and we have demonstrated the role of domestic macroeconomic and financial conditions in surpassing the effects of US financial stress. More specifically, the impacts of the domestic and foreign financial stress vary across regimes and are asymmetric.

This study enriches the literature on factors affecting the exchange market pressure of emerging countries. The results have significant economic implications for policymakers, indicating that the exchange market pressure index may trigger a financial crisis and economic recession.

Toward the end of the turbulent decade of the 1980s, the public high‐yield debt, or “junk,” market passed the milestone of $200 billion of debt securities outstanding. Now it is time to draw into perspective some of the lessons that have been learned from this controversial and misunderstood marketplace.