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Correlation coefficients measuring the historical relationships of returns on commercial property and both equities and conventional gilts appear to be low. Conversely, the correlation between gilts and equities appears to be relatively high. This implies that property provides diversification benefits to a mixed asset portfolio dominated by equities and gilts. However, there is some debate as to the reliability of these correlations and property’s diversification benefits. In this paper we use Granger causality tests and cointegration techniques to demonstrate that there is no long‐run relationship between property returns and those of either gilts or equities. This confirms the diversification benefits of including property in a mixed asset portfolio.

This purpose of this paper is to investigate the existence of cointegration and causality between the stock market price indices of Thailand and its major trading partners (Australia, Hong Kong, Indonesia, Japan, Korea, Malaysia, the Philippines, Singapore, Taiwan, the UK and the USA), using monthly data spanning December 1987 to December 2005.

This paper used both the Engle‐Granger two‐step procedure (assuming no structural breaks) and the Gregory and Hansen test (allowing for one structural break) provide no evidence of a long‐run relationship between the stock prices of Thailand and these countries.

Based on the empirical results obtained from these two residual‐based cointegration tests, potential long‐run benefits exist from diversifying the investment portfolios internationally to reduce the associated systematic risks across countries. However, in the short‐run, three unidirectional Granger causalities run from the stock returns of Hong Kong, the Philippines and the UK to those of Thailand, pair‐wise. Furthermore, there are two unidirectional causalities running from the stock returns of Thailand to those of Indonesia and the USA. Empirical evidence was also found of bidirectional Granger causality, suggesting that the stock returns of Thailand and three of its neighbouring countries (Malaysia, Singapore and Taiwan) are interrelated.

No previous study examines the possibility that the pair‐wise long‐run relationship between the stock prices of Thailand and those of both emerging and developed markets may have been subject to a structural break.

One of the anxieties of stock market investors is whether the markets operate efficiently, independently and with sound fundamentals. This concern is also held by academics and practitioners for quite some time. However, real market situation tends to exhibit a link as is evident from recent market movements across the world. The purpose of this paper is to examine whether the stock markets in the Indian subcontinent have any link with the major stock markets from China, Singapore, America, and Hong Kong.

The paper uses Engle Granger test of cointegration.

The paper finds that the Indian markets are related to some of the markets around the world.

The paper offers insight into the cointegration of Indian stock markets with other leading stock markets.

Proposes to re‐examine empirically the causal relationship between defence spending and economic growth in mainland China. First, using a VAR modelling technique with suitable diagnostics, e.g. Akaike’s FPE statistics and a likelihood ratio test for over‐ and under‐fitting the causal model, the results indicate a positive unidirectional causality flowing from defence spending to economic growth. Second, by evaluating a dynamic vector error‐correction model, variance decomposition and impulse response functions, then analyses the direction, duration and strength of Granger‐causality between defence spending and economic growth. The results broadly indicate that defence spending and economic growth did share a common trend over the sample period under analysis, but it was the former which stimulated the latter. Moreover, it is defence spending that has a much more perceptible and prolonged effect on economic growth, giving rise to implications that although expenditure on defence may have been politically motivated, over the long‐run this spending did play a significant indirect role in enhancing the growth potential of this, for many years, closed‐door economy.

This study aims to determine the nexus between agricultural production and agricultural loans for the period Q1 2003–Q4 2018 in Turkey.

The authors employ the time-series analyses within the scope of the study. Firstly, they run the Engle–Granger two-step cointegration test and the Toda–Yamamoto causality analysis. They also use the dynamic ordinary least squares (DOLS) model estimator and estimate the vector autoregression model for predicting the dynamic structure of time series.

The results of time series analyses reveal that the variables are cointegrated and there are causal relationships between agricultural loans and agricultural production. Also, the variance decomposition findings indicate that the effect of agricultural loans provided by development-investment banks and participation banks on agricultural production has increased over the years, and the deposit banks have a high impact on agricultural production. The results of the DOLS model indicate that agricultural loans have a positive effect on agricultural production.

This research is one of the few studies that comprehensively determines the direction of nexus between agricultural production and agricultural loans in Turkey economy. This is the first contribution of the study in the literature. Another contribution of this study is to investigate the nexus between agricultural production and agricultural loans for banking sector groups. Unlike other studies in the literature, this study calculates the variance decomposition by going beyond unit root and cointegration tests. Thus, this study has deep findings.

The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China are selected as variables. In addition to this issue, monthly data of these variables for the periods between 1990 and 2019 are taken into consideration. In the evaluation process, both Engle–Granger cointegration and Toda–Yamamoto causality analysis are considered. The results of Engle–Granger cointegration analysis indicates that there is a ­relationship between trade war and oil prices. Nevertheless, according to the results of Toda–Yamamoto causality analysis, it is identified that trade war does not cause oil prices. While looking at these results, it is determined that trade war between the United States and China has an influence on the oil price changes. However, it is also understood that it is not the main factor of this volatility. Thus, it is recommended that in order to identify the main indicator of the oil price volatility, some different factors should also be taken into consideration.

Innovation means innovation. It enables companies to grow and compete with other companies. However, innovation studies also increase the welfare level of the countries. One of the most important topics in innovation studies is research and development (R&D). R&D enables companies to identify their current problems and lay the groundwork for new products and services. In this way, it contributes to the profit of the companies. The purpose of this study is to determine the effect of innovation on the share value of the company. In the study, the data are collected from Turkey during the period 1991–2019. However, the study was tested by Engle–Granger Cointegration analysis. As a result, it has been determined that there is a long-term relationship between R&D expenditures and the company’s share value. In this context, companies need to focus on R&D expenditures to increase their share values. For this issue, they need to increase their liquidity. In addition, the R&D departments in the company need to be increased. Companies need to prepare a separate budget for R&D studies.

The purpose of this paper is to study the lead-lag relationship between the futures and spot foreign exchange (FX) market in India to understand the price discovery mechanism and the relationship between these two markets.

The estimation of lead-lag relationship is realized in three steps. First unit root and stationarity tests (Augmented Dickey-Fuller, Phillips-Perron, and Kwiatkowski-Phillips-Schmidt-Shin) are applied to check the stationarity of the data. Second, cointegration tests (Engle and Granger’s residual based approach and Johansen’s cointegration test) are applied to determine long run relationship between the markets. Third, error correction estimation is carried out by applying Vector Error Correction Model (VECM) to determine the leading market.

The study finds that there is a long run relationship between the futures and spot market where the futures market has emerged as the leading market for the four currencies studied in the paper.

Majorly, the studies on Indian FX market limit themselves to identifying the efficiency of the market and the studies which talk about the lead-lag relationship focus on the Indian stock market. This paper enhances the existing literature on Indian FX market by exploring the less explored subject of the lead-lag relationship between futures and spot FX market in India.

This paper seeks to shed light on the question whether German real estate investment vehicles provide an effective hedge against inflation. To do so it aims to investigate open‐end real estate funds, special funds and real estate stocks.

Traditional approaches as well as cointegration and causality tests are applied to monthly and quarterly index data from 1992:04 to 2009:12 for the subject investment vehicles.

There is strong evidence that real estate returns are almost independent from inflation in the short run. None of the investigated investment vehicles provide a hedge against expected and unexpected inflation at different lags. In contrast, cointegration tests show that real estate stocks, open‐end funds and special funds do provide a hedge against inflation in the long term. Likewise, causality tests suggest that real estate performance is influenced by inflation in the long term.

The study still could not investigate closed‐end funds and G‐REITs. Yet, it does capture the most and comprehensive part of the indirect German real estate investment market.

Inflation‐hedging capabilities are of particular interest in periods of economic instability. Especially institutional investors with large asset portfolios seek to adjust their asset allocation to changing conditions.

To date, research papers on the subject of inflation‐hedging capabilities of real estate almost exclusively focus on REITs in the USA and in the UK. Research about the German real estate market and alternative investment vehicles is rare – partly due to a lack of transparency over the past – although international investors more and more adhere to the German real estate investment market.

The purpose of this paper is to investigate the recession effects in market efficiency of natural rubber futures contracts traded in India.

The research draws inferences from Granger causality and Engle–Granger cointegration tests, which are administered separately on 14 year daily price data spanning into two distinct, non-overlapping time series of 2004–2008 and 2009–2017.

Analysis shows that rubber futures market is informationally efficient in price discovery. The results of cointegartion tests indicate that a long-term relationship does exist between futures and spot prices of the natural rubber in India. The recession effects in the market efficiency of rubber futures contracts are evident from the increase in optimal hedge ratios estimated with the cointegration methodology.

The study pursues a simple cointegration methodology to assess the causal relations between spot and futures market prices in the Indian context. Future studies investigating the long-run causal relations, with error correction framework, between spot and future prices of rubber from other leading rubber producing countries can validate the findings more on this issue.

The research expects to pass on vital information inputs on the implications of future contracts to rubber traders for managing their portfolios. The study of this kind definitely will be a great help to farmers and exporters who are potentially interested in gaining access to a hedging vehicle.

The paper is unique in terms of understanding the effects of economic recession in information efficiency of futures market. Moreover, a limited number of studies have explored the functional utilities of rubber futures in emerging market context.