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This paper aims to understand how aversion to interest income in Islam may influence the demand for real estate and gold when inflation is rampant.

According to Markowitz’s mean-variance model, an optimal portfolio is one that blends maximum return with minimum variance. In investment portfolios, real estate and gold serve as inflation hedges. For religious reasons, many Muslims exclude interest-earning assets from their portfolios, however. This paper explores how this attitude influences the hedging role of real estate and gold when inflation is rampant. This paper compares optimal portfolios that include and do not include interest-earning assets. In the calculations, this study uses monthly Turkish data from 1997 until 2018.

The analysis shows that the best hedging instrument against inflation is an interest-earning asset. In its absence, the role of real estate and gold as inflation hedges markedly increases: For a medium-return and medium-risk portfolio, for instance, the portfolio share of gold holdings increases from 3.16% to 58.43% and that for real estate increases from 14.97% to 24.06%.

This paper is a pioneering work on the influence of Islam on the roles of real estate and gold as inflation hedges when inflation is rampant. It provides an explanation from financial theory for the strong real estate and gold demand in Turkey in the past two decades.

The purpose of this paper is to examine the extent to which conventional and Islamic bank fixed deposit rates can protect depositors against inflation in the Malaysia context.

Nominal interest rates are represented by commercial bank fixed deposit and investment bank fixed deposit rates. The authors use monthly data over the period 2000–2016. The authors apply the autoregressive distributed lag bounds testing methodology to test the existence of long-run relationship between nominal rates and inflation, and the error-correction model to test for the short-run dynamics.

The results show that the nominal interest rate and inflation are cointegrated for all the data series. The evidence indicates that all the fixed deposit rates, for both conventional and Islamic banks are effective inflation hedges in the long-run thereby supporting the Fisher hypothesis. There is no difference in the inflation hedging ability between conventional bank rates and Islamic bank rates. However, the authors find no evidence of the short-run relationship between interest rates and inflation for either bank.

Bank regulators should be concerned on the similarities in behaviour towards inflation between conventional and Islamic rates, given that the deposit rates for both banks are supposedly set based on different premises. Bank customers, they should deposit their money for the long horizon in order to protect themselves against inflation. Depositors worrying about inflation should be indifferent between conventional or Islamic as both banks provide similar inflation hedging characteristics.

The novelty of this study is in using the bank fixed deposit rates to study the Fisher effect in an emerging market and in comparing the conventional and Islamic bank rates in terms of their inflation hedging ability.

Human beings need shelter as the beginning of their existence. Same holds true for people who live in Turkey as it is a cultural and traditional reason to be the host and endeavor to buy a home even if one has to pay the debt for years. Another factor that is important for individuals and even for countries is the inflation rate. In this context, the purpose of this study is to investigate whether the 26 regions of Turkey are affected by the inflationary pressure, specifically in the housing price index (HPI).

For this purpose, data from 2010:01 to 2019:01 and the consumer price index (CPI), as well as HPI have been used. The causal relationship between the variables is analyzed by Konya Causality (2006) test.

The key results suggest that HPI causes inflationary pressures in some regions.

The study has some limitations in terms of data set and scope. These are as follows: although there are many variables affecting housing prices, this study aims to investigate the causal link between inflation and housing prices. In addition, only the CPI and HPI variables were provided on a monthly basis in the 2010-2019 period for 26 regions due to the aim of making regional propositions in the investigation of this relationship. For these reasons, different macroeconomic variables could not be studied.

This study makes the following contribution to the literature. While the majority of existing literature investigates the relationship between housing prices and inflation from an empirical perspective for country, very few studies have been for the sub-regions and also these studies have focused on only some sub-regions. In other words, in the literature review, a study has observed that Turkey has to examine the relationship between the housing price and inflation variables for all sub-regions in particular. To overcome this deficiency in the literature, this study aims to investigate the relationship between housing price and inflation for 26 regions.

Swiss institutional investors hold approximately 19 per cent of their wealth in property, and the bulk of the allocation to property is housing. The financial reasons which are often given to motivate this investment strategy are twofold. First, property returns are hypothesized to be lowly correlated with the returns on stocks and bonds, and the inclusion of property in portfolios of financial assets should lead to diversification benefits. Second, property is viewed as acting as an effective hedge against inflation. Empirically investigates these two assumptions on the basis of hedonic price indices for Geneva and Zurich apartment buildings. Examines whether an investor who already holds Geneva (Zurich) housing should invest in the other canton. Investigates whether real estate mutual funds should be included in the portfolio in addition to direct real estate holdings. Results suggest that housing is an effective portfolio diversifier but does not provide any better short‐term inflation‐hedging effectiveness than financial assets.

The purpose of this study is to present evidence as to whether the use of gold or silver can be justified as an asset to hedge against policy uncertainty and COVID-19 in the Chinese market.

By using a GARCH model with a generalized error distribution (GED), this study specifies that the gold (or silver) return is a function of a set of economic and uncertainty variables, which include volatility from interest rate innovation, a change in economic policy uncertainty (EPU), a change in geopolitical risk (GPR) and volatility due to pandemic diseases, while controlling for stock market returns, inflation rates, economic growth and the Chinese currency value.

This study employs monthly data of gold and silver prices over the period from January 2002 to August 2021 to examine hedging behavior. Estimated results show that the gold return is positively correlated to the stock return and a rise in uncertainty from economic policy innovation, geopolitical risk, volatility due to US interest rate innovation as well as COVID-19 infection. This result suggests that gold cannot be used to hedge against a stock market decline, but can be used to hedge against uncertainty in general. However, the silver return only responds positively to a rise in uncertainty from the inflation rate and geopolitical risk. Evidence shows that silver returns are negatively correlated with stock returns, and display hedging characteristics. However, the evidence lacks statistically significance during the COVID-19 period, suggesting that the role of silver as a safe-haven asset against stock market turmoil is weak for this time period.

More general nonlinear specifications can be developed. The tests may include different measures of uncertainty that interact with each other or with the lagged error terms. An implication of the model is that gold can be used to hedge against a broad range of uncertainties for economic policy change, political risk and/or a pandemic. However, the use of gold as an asset to hedge against a stock downturn in Chinese market should be done with caution.

This study has important policy implications as regards a choice in assets in formatting a portfolio to hedge against uncertainty. Specifically, this study presents empirical evidence on gold and silver return behavior and finds that gold returns respond positively to heightened uncertainty. Thus, gold is a good asset to hedge against uncertainty arising from policy innovations and infectious disease uncertainty.

This paper provides insightful information on the choice of assets toward hedging against risk in the uncertainty market conditions. It provides information to investors and policy makers to use gold price movements as a signal for detecting the arrival of uncertainty. This study also provides information for demanding a risk premium for infectious disease.

This study empirically analyzes and verifies the role that gold serves as a safe haven asset to hedge against uncertainty in the Chinese market. This paper contributes to the literature by presenting evidence of risk/uncertainty premiums for holding gold against various sources of uncertainty such as economic policy uncertainty, geopolitical risk and equity market volatility due to US interest rate innovation and/or COVID-19. This study finds evidence that supports the use of a nonlinear specification, which demonstrates the interaction of uncertainty with the lagged change of infectious disease and helps to explain the gold/silver return behavior. Further, evidence shows that the gold return is positively correlated to the stock return. This finding contrasts with evidence in the US market. However, silver returns are negatively correlated with stock returns, but this correlation becomes insignificant during the period of COVID-19.

This paper aims to test the hedging ability of housing investment against inflation in Japan and the USA during the period 2000–2020.

This study applies the deep learning method and The exponential general autoregressive conditional heteroskedasticity in mean (1, 1) model with breaks.

Within the asymmetric framework, it is found that housing returns (HR) can hedge against inflation in both these markets, which mentions that when investing in the housing market in Japan and the USA, investors are compensated for bearing from inflation. This result is consistent with Fisher’s hypothesis. Especially, the empirical results show that the risk-return tradeoff is available in Japan’s housing market and not available in the US housing market. Any signal of a high inflation rate – referred to as “bad news” – may cause a drop in HR in Japan and a raise in the USA.

To the best of the author’s knowledge, this is one of the first studies using the deep learning method (long short-term memory model) to estimate the expected/unexpected inflation rates.

The aim of this research is to explore multiscale hedging strategies among cryptocurrencies, commodities, and GCC stocks. Particularly, this is done by evaluating the connectedness among these asset classes covering a period with COVID-19 implications. Using the wavelet approach, the present study aims to recommend whether there exist different time horizon-based hedging abilities across the asset classes.

The approach used in this study is a multiscale decomposition of time series based on wavelets of daily prices of 13 asset classes. Since the wavelet analysis allows to decompose the time series into its frequency components at different time scales by a filtering process the study covered 1-day, 8-day, and 64-day time horizons to examine the hedging properties across those asset classes.

The results of this study show that hedging effectiveness differs among stock markets over time. In some cases, cryptocurrencies may keep their hedging properties across time while in others they switch from safe haven to hedge devices. In almost all cases, the three main cryptocurrencies showed diversifying properties as was observed by the multiscale correlation and hedge ratio estimations. In a competing sense, gold showed safe haven properties across time than cryptocurrencies except at an 8-day time scale where hedge ratios were low, positive and statistically different from zero that could be interpreted as a good hedge device in the medium term.

Though this research has considered a set of thirteen asset classes, it was limited to a period in which most cryptocurrencies started trading for the first time which reduces the number of observations compared to Bitcoin prices and stable coins such as Ethereum, Ripple, and Bitcoin Cash. Also, the research was focused on the GCC stock markets which may have different results as compared to other regional markets of Asia or Latin America. A comparative analysis in future could be another area of research in future.

This study has some significant policy implications. The cryptocurrency market is severely affected by demand and risk shocks to crude oil prices during the COVID-19 period. From the investor's point of view, diversification benefits can be obtained by combining cryptocurrencies along with oil-related products during episodes of financial turmoil and COVID-19 pandemic. The GCC region is constantly endeavoring to adopt more scientific tools and mechanisms of investment, and therefore, this study's results will provide some useful directions to the government, policymakers, financial institutions, and investors.

The current study covers a big bunch of 13 assets spanning across financial and real assets. This is based on literature gap and hence, will be a significant addition to the existing literature. Moreover, the GCC region is emerging as a global investment hub and this study will provide investors dynamic hedging strategies across these asset classes.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

The author aims to examine the long-run dynamic relation between gold price and inflation in the Indian context from 1982 to 2015. The author measures inflation using consumer price index and wholesale price index (WPI). However, this study focuses on the long-run dynamic relation between gold price–WPI inflation.

The author uses Johansen’s cointegration technique (Johansen, 1991); single equation error correction model based on Pesaran et al. (2001) and Kanioura and Turner (2005); and the Saikkonen and Lütkepohl (2000) approach. The author also uses a time-varying regression framework in level form based on Kalman filter to examine the dynamic nature of gold–WPI relation.

The author finds no evidence of cointegration between gold and WPI. However, The author reports a significant dynamic relation between gold and inflation using a Kalman filter framework, and the comovement between these variables has in fact increased in the past decade. The results further indicate that variation in gold’s sensitivity to inflation can be explained by real effective exchange rate which supports the notion of using gold as an alternative to paper currency. Moreover, the WPI beta of gold is found to be predicted by both short- and long-term interest rate changes highlighting the monetary value of gold as a valuable asset.

From an emerging economy point of view, the results have implications for policy makers, particularly the central banks. The results of this paper caution the Reserve Bank of India against increasing its gold holdings as a reserve asset presuming that gold would preserve its purchasing power parity, at the same time providing a hedge against inflation.

To the best of the author’s knowledge, this is the first study to examine the gold price–inflation relation in the Indian market for such a long period of time. More importantly, the study shows that the changes in gold’s long-term sensitivity to WPI can be forecast using fundamental variables like interest rates.