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This paper investigates the generalized Fisher hypothesis for nine equity markets in the Asian countries. It states that the real rates of return on common stocks and the expected inflation rate are independent and that nominal stock returns vary in a one‐to‐one correspondence with the expected inflation rate. The regression results indicate that stock returns in general are negatively correlated to both expected and unexpected inflation, and that common stocks provide a poor hedge against inflation. However, the results of the VAR model indicate the lack of a unidirectional causality between stock returns and inflation. It also fails to find a consistent negative response neither of inflation to shocks in stock returns nor of stock returns to shocks in inflation in all countries. It appears that the generalized Fisher hypothesis in the Asian markets is as puzzling as in the developed markets.

The purpose of this paper is to amend the New Keynesian Phillips Curve (NKPC) model to include inflation volatility. It provides results on the determinants of inflation volatility and expected inflation volatility for ordinary least squares and autoregressive distributed lags (1,1) models and for change in inflation volatility and change in expected inflation volatility using error correction mechanism (ECM) models. Output gap affects change in expected inflation volatility alone (in the ECM model) and not in the other models. Major determinants of inflation volatility and expected inflation volatility are identified. To the best of the authors knowledge this is the first paper to augment the NKPC to include inflation volatility.

Recent analysis has indicated the importance of inflation volatility for the monetary transmission mechanism in India (Kapur and Behera, 2012). In the analysis of such monetary policy mechanisms the NKPC has proved to be a useful tool. Thus Patra and Ray (2010) for India and Brissimis and Magginas (2008) for the USA find considerable support for the standard NKPC. The purpose of this paper is to synthesize and integrate these two models by extending the standard NKPC framework to include inflation volatility and test its significance for the case of India.

In the case of inflation volatility output gap, lagged output gap and lagged inflation volatility are all insignificant. The level of inflation has a negative significant impact whereas the level of expected inflation has a positive and significant impact. In the case of expected inflation volatility lagged output gap has a negative and significant impact, the price level has a positive and significant impact whereas expected price has a negative and weakly significant impact. ECM reveals change in inflation variability falls significantly with lagged inflation volatility and lagged inflation and less significantly with change in expected inflation. It rises with lagged expected inflation although the coefficient is only weakly significant. Lagged output gap and change in output gap are insignificant.

This paper makes two original contributions. First, it extends the New Keynesian framework to include inflation volatility. Second, it estimates this model for India. To the best of the authors knowledge this is the first paper to make these contributions.

Suggests that recent attempts to measure the inflation‐hedging characteristics of commercial property use an inappropriate methodology. As a result the conclusions of much of this body of work are of dubious value. Having an income and capital repayment linked to inflation, index‐linked gilts appear to be a good hedge against inflation. Applies traditional regression‐based inflation hedging tests to UK index‐linked gilts. The tests suggest that index‐linked gilts are not a hedge against inflation. There is an anomaly. The anomaly is resolved through explicitly defining a hedge against inflation and, given the definition, building a model to test if index‐linked gilts are a hedge against inflation. Concludes that index‐linked gilts are a hedge against inflation and that the regression‐based methodology is an inappropriate one. Given this finding, uses the procedure to assess the inflation‐hedging capacity of a single standard UK commercial property. It is found that property is around 20 per cent prone (80 per cent inflation proof). Finds the impact of the number of years between reviews, the level of yield and the level of gearing to be significant in the inflation‐hedging capacity of UK commercial property. Finally, the assumption of single property is relaxed to consider the characteristics of the portfolio of investment. This does not significantly change the results.

Between 1981 and 1994, the UK commercial property market (IPD) delivered a total return of 9.9 per cent each year, 4.2 per cent each year in real terms. Over the same period, the real return on UK equities and UK gilts was 11.6 per cent and 6.9 per cent respectively, it is important to account for the poor performance of property. Other than a model which attributes performance to income return and capital return, there are few models that attempt to account for this. This model is simply descriptive. The responsiveness of the return on commercial property to inflation is crucial to pension funds, the liabilities of which are often wage‐linked. Establishes auto‐regressive expectations of real ERV growth and inflation. Presents a model of the simulated lease structure of the IPD. States the main cause of the under‐performance was the increase in the required return on property over the period. Between 1980 and 1994, long‐term expectations of inflation fell. Concludes by stating the existence of over‐rented properties, after the decline in rents in the early 1990s, had a large impact on he relative influence of inflation and real ERV growth. Over‐renting increases the impact of unexpected inflation and changes in expected inflation and reduces the impact of unexpected real ERV growth and changes in expected real ERV growth. In fact, the impact of unexpected inflation in an over‐rented environment is bigger than the impact of unexpected real ERV growth.

This study reinvestigates the short-run and long-run inflation-hedging attributes of residential property assets in the Nigerian property market, based on variations in property types and location.

Data used for this study comprised the holding period returns of three residential property types, namely bungalow, block of flats and detached house during 1999–2018. These were obtained from property practitioners in Lagos, Abuja and Port Harcourt, respectively. The inflation values obtained from the National Bureau of Statistics were split into actual, expected and unexpected components. Fama and Schwert’s (1977) ordered least square (OLS) regression was used to assess the short-term inflation hedging efficacy. Afterwards, the long-run link between residential property and inflation was examined using the Johansen and Juselius cointegration test.

The results showed that despite the variations in hedging behaviour across property types in the three locations, residential property assets significantly provided protection over actual, expected and unexpected inflation in the short run based on the OLS regression analysis. The result of the Johansen and Juselius cointegration test also established a long-term link between the residential property assets and actual inflation. However, mixed results were found on the link between residential property and expected and unexpected inflation, as some of the assets did not effectively hedge these inflation components in the long run.

The study implied that the differences in property types and geographic locations are crucial in establishing the short-run and long-run inflation-hedging attributes of residential property assets and should be factored into consideration.

The paper complements the existing body of knowledge on the inflation-hedging attributes of residential property in emerging markets by determining the effects of variation in house types and geographic differences on the analysis.

Examines the inflation‐hedging characteristics of Australian commercial property and property trusts over 1984‐1995. Using the Building Owners and Managers Association property indices for Australian office, retail and industrial property, assesses the role of actual, expected and unexpected inflation. Strong evidence of inflation hedging is evident for Australian office, retail and industrial property. After adjusting for differences in market balance using vacancy rates, slightly less evidence of inflation hedging by Australian office property is evident.

The role of money and monetary policy of the central bank in pursuing macroeconomic stability has significantly changed over the period since the end of World War II. Globalization, liberalization, integration, and transition processes generally shaped the crucial milestones of the macroeconomic development and substantial features of economic policy and its framework in Europe. Policy-driven changes together with variety of exogenous shocks significantly affected the key features of macroeconomic environment on the European continent that fashioned the framework and design of monetary policies.

This chapter examines the key basis of the central bank’s monetary policy on its way to pursue and preserve the internal and external stability of the purchasing power of money. Substantial elements of the monetary policy like objectives and strategies are not only generally introduced but also critically discussed according to their accuracy, suitability, and reliability in the changing macroeconomic conditions. Brief overview of the Eurozone common monetary policy milestones and the past Eastern bloc countries’ experience with a variety of exchange rate regimes provides interesting empirical evidence on origins and implications of vital changes in the monetary policy conduction in Europe and the Eurozone.

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.

Tests the inflation‐hedging effectiveness of Swiss real estate. Four proxies for expected inflation are used, two of them being based on autoregressive conditional heteroscedasticity models (ARCH‐M and QTARCH). The series used to proxy for real estate returns is a transactions‐based series adjusted for quality of the buildings by means of a hedonic model. Swiss stocks, bonds, real estate and real estate mutual funds are usually positively related to expected inflation and negatively related to unexpected inflation. Many of these coefficients, however, do not exhibit statistical significance.

This study aims to extend the current literature by examining the inflation-hedging effectiveness of Malaysian residential property in the short run and long run. Malaysia is an emerging market and has some unique characteristics. Therefore, a dedicated study in this market is critical.

The analysis of this study involves two stages. The first stage is to estimate the inflation-hedging ability of Malaysian residential property in the short run. The Fama and Schwert model was employed. Thereafter, the long-run inflation-hedging effectiveness was assessed by using a dynamic ordinary least squares (DOLS) model.

The Fama and Schwert tests reveal that Malaysian residential property does provide some satisfactory hedge against the expected inflation component over the short run. However, variations are evident among different types of residential property. The DOLS results provide strong evidence to support that housing is an effective hedge against the expected inflation in the long run, whereas no comparable evidence is found for the unexpected inflation component.

The findings enable more informed and practical investment decision-making regarding the role of housing in inflation risk management.

This paper is the first study to offer empirical evidence of the inflation-hedging attributes of Malaysian residential property. Moreover, the inflation-hedging effectiveness of different types of residential property is also compared for the first time.