Influence of Various Asset Classes on Equity as an Asset Class: A USA Based Study

ABSTRACTFocusing on the growth of Real Estate Investment Trusts in Brazil, the paper explores how financializing policy instruments intertwine financial markets and the urban built environment. It studies the career of REITs and questions the role of financial market capital and actors in urban dynamics. The paper uncovers three processes usually considered separately: i) how a network of public and private financial market actors coaxes state bodies into using their regulatory powers and financial resources to transform real estate into an asset class; ii) how the government-run financial market authority and banks lure urban households into liquid real estate through marketing and education campaigns; and iii) how asset managers are “applied economic geographers” insofar as they channel households’ capital into a selected cities and properties. The active role played by financial actors in the design, enhancement and implementation of such a policy instrument leads us to conclude on their role as urban policy-makers.

Real estate is an important asset class, but what specifically does real estate contribute to improve diversified stock–bond portfolios? The author decomposes real estate investment trust returns into their factor betas to show that real estate is a hybrid asset class, with returns explained by a rich mix of compensated risk factors plus uncompensated sector risk. He shows that the same is true for private real estate, but with the additional contribution to risk from misappraisals. It is the rich mix of common factors contained in real estate that can improve the Sharpe ratios of diversified, multiasset portfolios. He discusses the implications for asset allocation from the perspectives of mean–variance optimization of asset classes, the capital asset pricing model with efficient markets, and factor-based asset allocation. <b>TOPICS:</b>Real estate, portfolio construction

The advent of futures contracts on residential housing indices has enabled the creation of synthetic investment positions in residential property, an asset class previously unattainable for institutional investors. To determine whether institutional investors have an incentive to utilize this method to invest in residential real estate, I examine the investment characteristics of the S&P/Case-Shiller Composite Home Price Index over the period 1987-2006. These investment characteristics will determine whether the futures contracts gain usage amongst investors and therefore, at least in part, whether these derivative contracts are successful in the long term. The results show that residential real estate is a low risk/low return type of investment, with risk adjusted performance lower than that of commercial real estate, but higher than most other asset classes. Residential real estate exhibits negative correlations with all other asset classes, making it excellent for diversification purposes. Within mean-variance efficient portfolios, residential property has large weightings in conservative up to mid-risk tolerance portfolios. More aggressive investors would not optimally invest in residential, although they would have a significant weighting on commercial property. However, if considered within an Asset Liability Management framework for a defined benefit pension plan, residential real estate plays little role in the optimal portfolio for any risk tolerance, although commercial real estate does. Overall, residential real estate has investment characteristics quite distinct from the commercial real estate in which institutions have traditionally invested, although the final weight in an optimal portfolio depends upon the objective and risk tolerance of the investor.

The interconnectedness between asset classes becomes particularly relevant during extreme events, as market stress amplifies risk spillovers and impacts asset relationships, influencing risk transmission and financial market stability. While existing studies often examine financial interdependencies, including extended periods, they frequently focus on specific markets or asset classes, limiting the understanding of cross-asset contagion effects. Thus, it is crucial to grasp the interconnectedness among asset classes and how they communicate information under different economic conditions. This research bridges the gap by applying the transfer entropy approach to analyze the evolving connections among various asset classes from April 2017 to September 2024, spanning the COVID-19 pandemic and the Russia–Ukraine war. The findings reveal that stocks and cryptocurrencies consistently are net information transmitters to the system. Currency benchmarks and gold tend to receive information from the system during increased tension, reflecting their role in absorbing risk-driven capital flows. This study challenges the idea that cryptocurrencies are separate from traditional financial markets and shows how they are becoming more integrated. By employing net transfer entropy within a financial network analysis framework, this study uncovers time-varying shifts in market interdependencies and, thus, an enhanced description of financial contagion dynamics. The dynamic nature of such relationships highlights the need for adaptive portfolio strategies and enhanced risk assessment models. Our results have direct implications for portfolio management and risk assessment. Investors can use this study’s findings to recognize assets that are sources of systemic risk or safe haven assets, facilitating adaptative changes in their portfolios. Policymakers and regulators can use these findings to forecast systemic vulnerabilities and implement strategies aiming to reduce financial instability in times of crisis.

This article extends the literature on the financial performance of real estate investment trusts (REITs) by examining whether U.S. REIT returns are impacted by global REITs and other real estate subsectors, such as the U.S. Real Estate Index (USRE) and the U.S. Mortgage Finance Index (USMF). The authors also explore the issue of volatility transmission and the asymmetric effect of volatility spillover on U.S. REIT returns from innovations originating in other real estate subsectors and Global REITs. Results suggest that U.S. REITs are impacted by USRE and USMF returns. There is also evidence of volatility spillover from key real estate constituents—that is, USRE and USFM returns and global REIT markets. These results can be attributed to the changing dynamics of the real estate sector and the gradual integration of the global real estate sector as an asset class. These findings have strong implications for constructing global portfolios including REITs. <b>TOPICS:</b>Mutual funds/passive investing/indexing, real estate, global, performance measurement

Every investor, trader, portfolio manager or analyst tries to evaluate the performance of the selected asset to develop a strategy for investment or trading. There are a variety of analyses that can be used depending on the asset class chosen. Since this paper is about REITs (Real Estate Investment Trusts), two ratios will be calculated: DPU (dividend distribution per unit) and FFO (funds from operations). The objective is to investigate whether these two performance measures produced significantly different results during the COVID19 crisis. The selected assets were chosen to cover most of the asset classes in the real estate industry: 1. Public Storage: PSA, 2. Host Hotels &amp; Resorts: HST, 3. Healthpeak Properties: Peak, 4. AIMCO: AIV. It can be concluded that REITs as an asset class generally offer steady returns, however, some sectors are more affected than others during the crisis. It is difficult to estimate which sector will be affected, as crises are always novelties. The best performing asset class was that of the storage sector, which remained stable and positive throughout the entire period, paying higher dividends than the other asset classes.

Market Risk of Real Estate

This study explores the time–frequency return connectedness of the four most relevant asset classes namely, equity, digital assets, commodity, and fixed income. To do so, we use the novel proxies of the S&P500 Index for equity, the S&P Cryptocurrency MegaCAP Index for digital assets, the S&P Goldman Sachs Commodity Index for commodity, and the S&P Global Developed Sovereign Bond Index for fixed income, and also employ the wavelet analysis for daily data over the period 2017: M02 to 2021: M09. In contrast to the pre-COVID-19 period, our findings indicate that the interdependence between the selected asset classes has intensified across all time scales and frequency bands during the COVID-19 crisis, proving the lack of hedging opportunities. Besides, the findings reveal that there is a significant lead-lag relationship between time series at medium and low frequencies during the research period, and the directional connectedness among asset classes is sensitive to frequencies. Especially, the co-movements among the pairs are pronounced during the COVID-19 outbreak. Remarkably, the wavelet-based Granger causality test corroborates the wavelet results and underscores there is a significant causal link between the variables during COVID compared to pre-COVID. Moreover, the results of the portfolio risk analysis by employing the value at risk (VaR) measure indicate that portfolio diversity advantages vary among frequency and across time. The results of the present study provide insight and might help foreign portfolio investors diversify their portfolios across different asset classes.

Strengthening Banks' Portfolio Against Asset Shocks: A Genetic Computational Approach

The Use of Listed Real Estate Securities In Asset Management

This paper examines the dynamics of the European commercial real estate market (CRE), with a particular focus on retail Italy market, analysing investment trends, sectoral performance and macroeconomic influences from 2020 to 2024. The study explores how macroeconomic shocks, evolving consumer behaviours and changing investor strategies have shaped capital allocation across different retail asset classes, including high-street retail, shopping centres, retail parks, and supermarkets. The research finds that retail real estate investment in Europe experienced significant volatility, with a sharp contraction in 2023 due to rising interest rates and inflationary pressures, followed by a recovery in 2024, particularly in resilient asset classes such as grocery-anchored retail and luxury high-street locations. Italy, despite facing macroeconomic constraints, demonstrated a substantial resurgence in retail investment, with supermarkets and urban high-street retail outperforming traditional shopping centres. This study contributes to scientific socio-economic knowledge by quantifying investment fluctuations across different asset classes and identifying key structural transformations in retail real estate. It establishes a direct link between commercial real estate investment, consumer behaviour shifts and macroeconomic policy adjustments, offering insights into the future trajectory of retail property markets. The findings support the hypothesis that grocery-anchored retail and prime urban assets provide long-term stability, while secondary retail formats require adaptation to remain viable.

Alternative assets represent an increasing share of pension fund assets, and real estate is a cornerstone of that allocation. This article investigates the trends in pension fund real estate investments over the past 3 decades, both in private and in public real estate, focusing on the performance of the asset class for the ultimate asset owners. The development of pension fund allocations to real estate differs across regions, with allocations increasing in Canada, stationary in the US, and shrinking in Europe. Slightly more than 10% of the real estate exposure is through publicly listed vehicles. Within the real estate portfolio, the authors observe a continuing increase in the use of external fund managers. Investment costs are stationary, with pension funds in the US structurally paying more to their external private real estate managers than their peers in Canada and Europe. Costs relating to public real estate are more equal across regions. In terms of performance, the authors observe rather stable total returns for both private and listed real estate over the past 3 decades, contrasting volatile performance of private equity and infrastructure. Intermediated investment management for private real estate is costly, leading to disproportionately lower net returns. <b>Key Findings</b> ▪ Current pension fund allocation to real estate is 8.3%, on average, with a 90/10 split between private real estate and public real estate. ▪ Pension funds deploy a wide range of real estate allocation strategies, with intermediation growing in popularity over the past decades. ▪ Real estate has provided stable returns over the past decades, with gross returns similar to stocks, and net returns in between bonds and stocks.

Independent Auditor’s Report

Real Estate as Part of an Investment Portfolio in Australia

PurposeBlockchain and distributed ledger technologies are set to disrupt the real estate sector in all areas: ownership, sale, management and investment. Tokenization moves physical real estate to the digital space and could result in substantial cost savings in the pre- and post-tokenization process. This article discusses whether real estate as an asset class is ready for digitalization in the Asia-Pacific (APAC) region.Design/methodology/approachGlobally, the APAC region has the highest digital adaptation/adoption rates. Regulators in the region are also moving fast to clarify their stance on digital assets. This article adopts a holistic view, from trends, regulations, and technology, to discuss the benefits and challenges of digitalizing real estate in APAC.FindingsReal estate tokenization is a nascent market but platforms like BrickX, KASA, ADDX, and Minterest have successfully launched real estate tokens in Australia, South Korea, and Singapore, respectively. Tokenization may prove to be a viable funding source for those relatively poorly capitalized financial markets in the APAC region.Practical implicationsThis paper discusses the current regulatory and business contexts in relation to the pace of tokenization of real estate in APAC. Opportunities and difficulties are outlined in a concise manner to facilitate more discussion in this area.Originality/valueExisting reports and research articles tend to focus on the western markets. This article provides a new perspective on tokenization, specifically in the APAC context.