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As an asset class, listed property companies (PCs) in the emerging Asian markets have taken on increased significance in recent years. Investors have seen Indonesian real estate investment trusts (REITs) being regulated to become a property investment vehicle in 2007. This sees macro-environment investment in the Indonesian property market taking off to a higher level regionally. In the background, Indonesian listed PCs maintain as one of the major investment vehicles for local and international investors. It has also been the subject of investment for REITs and property investment funds in Indonesia. The purpose of this paper is to assess the dynamics of risk-adjusted performances and portfolio diversification benefits of listed PCs in a mixed-asset portfolio context in Indonesia, from July 2006 to December 2018. The sub-periods of pre-global financial crisis (GFC), GFC and post-GFC of listed PCs is also assessed.

Using monthly total returns, the risk-adjusted performance and portfolio diversification benefits of listed PCs from July 2006 to December 2018 are assessed, with extended efficient frontiers and asset allocation diagrams used to assess the role of listed PCs in a mixed-asset portfolio. Sub-period analyses are conducted to assess the post-GFC recovery of listed PCs.

Listed PCs delivered higher returns but carried higher risks compared to stocks before the GFC, with bonds having both the lowest returns and risks. The impact of the GFC was highest for Indonesian PCs compared to stocks, where properties did not deliver strong risk-adjusted returns. Notwithstanding the poor risk-adjusted performance, Indonesian PCs had low correlations with stocks and bonds, suggesting some level of diversification potential for stock and bond investors. Stocks outperformed listed PCs across the sub-periods and the full period. Over the post-GFC period, both stocks and listed PCs recovered from the crisis, with stocks turning around stronger. This analysis shows a prolonged recovering and slow bouncing adjustment of listed PCs from the economic changes. This research suggests selected listed PCs may be the outperformers, and, a future contract as a hedge form for listed PC to be implemented.

The use of the indices of Standard & Poor’s Indonesian property total return (for listed PCs) are as follows: MSCI Indonesia total return (for stocks), Indonesia’s ten-year bond’s total return (for bonds) and Indonesia’s three-month bill total return (for cash). This is used to study the Indonesian listed PCs and may have aggregation effects in its underperformance and therefore drawing a negative outcome. The results may reflect the common fact that the majority of listed PCs in Indonesia are property developers, which also sees underperformances in other emerging country markets.

Listed PCs have been under increasingly adjusted and positively adapted regulations from the Indonesian Government over the post-GFC period. Therefore, in order to attract interest from international investors in property investment in Indonesia, listed PCs need stronger and more efficiently adapted regulations to a competitive level of respective regulations in the region and globally. Notwithstanding the poor performance in the transitional stage, Indonesian listed PCs bring some diversification benefits to local investors who are able to pick the outperformed invested PCs at the right time. Of the on-going concerns, international investors have no restrictions on holding listed PCs in the Indonesian stock market. This provides room for improvement in business performance in listed PCs as a result of regional/global competition and international management being involved. The present study delivers awareness to investors, researchers as well as policymakers on the Indonesian property market.

This paper is the first published to present a country profile of significant property vehicles (commercial property, listed PCs and REITs). It also presents empirical research analysis of the risk-adjusted performance of listed PCs and its dynamic role in a local investors’ perspective across the pre-GFC, GFC, post-GFC periods. Given the significance of listed PCs in Asia, this research highlights more information for opportunities and on-going property investment issues in Indonesia.

This study examines the risk spillovers between Indonesian sectorial stocks (Energy, Basic Materials, Industrials, Consumer Cyclicals, Consumer Non-cyclical and Financials), the aggregate index (IDX) and two commodities (gold and West Texas Intermediate Crude Oil [WTI] futures).

The study uses two methodologies: the TVP-VAR model of Antonakakis and Gabauer (2017) and the quantile connectedness approach of Ando et al. (2022). The data cover the period from October 04, 2010, to April 5, 2022.

The results show that the IDX, industrials and materials are net transmitters, while the financials, consumer noncyclical and energy sectors are the dominant shock receivers. Using the quantile connectedness approach, the role of each sector is heterogeneous and asymmetric, and the return spillover is stronger at lower and higher quantiles. Furthermore, the portfolio hedging results show that oil offers more diversification gains than gold, and hedging oil is more effective during the pandemic.

This study provides valuable insights for investors to diversify their portfolios and for policymakers to develop policies, regulations and risk management tools to promote stability in the Indonesian stock market. The results can inform the design of market regulations and the development of risk management tools to ensure the stability and resilience of the market.

This study is the first to examine the spillovers between commodities and Indonesian sectors, recognizing the presence of heterogeneity in the relationship under different market conditions. It provides important portfolio diversification insights for equity investors interested in the Indonesian stock market and policymakers.

This purpose of this study is to empirically investigate the investors overreaction and underreaction behaviours across the sectoral stock indices in the Indonesian stock market.

Nine weekly sectoral stock indices, comprising agriculture; mining; basic industry and chemicals; miscellaneous industry; consumer goods industry; property and real estate; infrastructure, utilities and transportation; finance; and trade, service and investment for the period 2009-2012 were analysed using the paired dependent sample t-test. To provide more insightful empirical evidence, the presence of market anomaly of investor’s overreaction and underreaction was examined on five observations with different vulnerable times.

The study documented that the overreaction anomaly was present among the winner portfolios in the entire sectoral indices. With the exception of the sectoral index of basic industry and chemicals on the loser portfolio, the study documented the presence of underreaction anomaly among all other sectoral indices in Indonesia. These findings implied that the investors might be able to gain significant profits investing their monies in the sectoral stock market in Indonesia by implementing the contrarian strategy.

Originality in this paper lies in the discussion of overreaction of investors in Indonesia where the stock market has great potential and has different characteristics and different problems from other regions.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.

The authors explore the relationship between the exchange rate, bond yield and the stock market as well as the effect of capital market dynamics on the exchange rate before and during the COVID-19 pandemic.

The authors employ a non-linear autoregressive distributed lag (NARDL) methodology using daily data of the Indonesian economy over the period 2012–2021.

Whilst, over the full sample period, the authors find no cointegration between the exchange rate, the 10-year bond yield and stock market, for the COVID-19 period, evidence of cointegration is present. Furthermore, the results suggest that asymmetric effects are evident both in the short as well as the long run.

To the best of the authors’ knowledge, this is the first time that the relationship between the exchange rate, bond yield and the stock market as well as the effect of capital market dynamics on the exchange rate before and during the COVID-19 pandemic has been explored in the case of the Indonesian economy.

This study aims to identify calendar anomalies that can affect stock returns and asymmetric volatility. Thus, the objective of this study is twofold: on the one hand, it examines the impact of calendar anomalies on the returns of both conventional and Islamic indices in Indonesia, and on the other hand, it analyzes the impact of these anomalies on return volatility and whether this impact differs between the two indices.

The authors apply the GJR-generalized autoregressive conditional heteroskedasticity model to daily data of the Jakarta Composite Index (JCI) and the Jakarta Islamic Index for the period ranging from October 6, 2000 to March 4, 2022.

The authors provide evidence that the turn-of-the-month (TOM) effect is present in both conventional and Islamic indices, whereas the January effect is present only for the conventional index and the Monday effect is present only for the Islamic index. The month of Ramadan exhibits a positive effect for the Islamic index and a negative effect for the conventional index. Conversely, the crisis effect seems to be the same for the two indices. Overall, the results suggest that the impact of market anomalies on returns and volatility differs significantly between conventional and Islamic indices.

This study provides useful information for understanding the characteristics of the Indonesian stock market and can help investors to make their choice between Islamic and conventional equities. Given the presence of some calendar anomalies in the Indonesia stock market, investors could obtain abnormal returns by optimizing an investment strategy based on seasonal return patterns. Regarding the day-of-the-week effect, it is found that Friday’s mean returns are the highest among the weekdays for both indices which implies that investors in the Indonesian stock market should trade more on Fridays. Similarly, the TOM effect is significantly positive for both indices, suggesting that for investors are called to concentrate their transactions from the last day of the month to the fourth day of the following month. The January effect is positive and statistically significant only for the conventional index (JCI) which implies that it is more beneficial for investors to invest only in conventional assets. In contrast, it seems that it is more advantageous for investors to invest only in Islamic assets during Ramadan. In addition, the findings reveal that the two indices exhibit lower returns and higher volatility, which implies that it is recommended for investors to find other assets that can serve as a safe refuge during turbulent periods. Overall, the existence of these calendar anomalies implies that policymakers are called to implement the required measures to increase market efficiency.

The existing literature on calendar anomalies is abundant, but it is mostly focused on conventional stocks and has not been sufficiently extended to address the presence of these anomalies in Shariah-compliant stocks. To the best of the authors’ knowledge, no study to date has examined the presence of calendar anomalies and asymmetric volatility in both Islamic and conventional stock indices in Indonesia.

This study uses an event study approach which is the development of the efficient market hypothesis theory. First, the random walk test was conducted on the Jakarta Composite Index (JCI) to test the efficiency in the weak form. Furthermore, event study analysis was carried out on JCI and nine sectoral indices to determine the impact of COVID-19 related events on price movements. The study found that JCI prices follow a random walk pattern so that the stock market in Indonesia is efficient, at least in a weak form. In the event study testing, only events related to the first confirmed case of COVID-19 and the implementation of large-scale social restriction in Indonesia affected the composite index. From a sectoral point of view, only the event of Jakarta’s call center had no impact on price changes in the sectoral index. Thus, each index had a different effect throughout the event. The reaction seen from the movement of prices for the composite and sectoral index to the public information explains that the condition of the Indonesian capital market is efficient, at least in semi-strong form.

The purpose of this paper is to examine the extent to which the Indonesian Shariah compliant investors can benefit from the portfolio diversification with the Islamic indices of its trading partners and selected commodities such as gold, crude oil, and cocoa.

The authors use daily time series data covering both Islamic and commodity indices starting from June 4, 2007 until December 30, 2016 by the application of multivariate-generalized autoregressive conditional heteroscedastic and continuous wavelet analysis.

The findings tend to indicate that investors with exposure in Shariah compliant indices of Indonesia and wanting to gain more diversification benefits should invest either in the USA or India Islamic equity. Instead, the greater benefits will be obtained by Shariah compliant investors if they invest in the USA Islamic indices during long-term investment horizons. If investors want to invest in medium investment horizons, investing in India Islamic equity is a viable option. The findings further suggest that gold has a role of diversification benefits as a “safe haven” instrument for investors. It is advisable for the investors that have exposure in commodities (gold, crude oil, and cocoa) and want to invest in Indonesian Islamic equity, they should hold the portfolio for not more than 16 days to gain diversification benefits.

The results of this study are expected to have crucial implications for the Indonesia Shariah compliant investors and portfolio managers because it will help them to understand portfolio diversification benefits with different stock holding periods or investment horizons.

The purpose of this paper is to investigate the transmission of information (at return and volatility level) as well as the correlation between Kuala Lumpur Syariah and Jakarta Islamic Indices.

The daily return from July 4, 2000 to December 29, 2006 was employed in the bivariate VAR GJR‐GARCH model.

The results indicate significant unidirectional return and volatility transmissions from Kuala Lumpur Syariah and the Jakarta Islamic Indices. There is no evidence of asymmetric effects in volatility for both markets. However, volatility is highly persistent and mean‐reverting in each market. The findings also revealed that there is low correlation between the two Islamic stock markets investigated.

The data used in this study are limited to the Islamic stock markets located in South East Asia, concentrating more on the post‐economic crisis period analysis. Further research may be conducted using a different time period and frequency of data while utilizing more Islamic indices. In addition, future research may look at and compare the market interdependence of Islamic stock markets in different economic conditions such as the pre‐economic crisis period, during an economic crisis period or post‐economic crisis period.

Market participants such as investors and market analysts should include the Malaysian Islamic stock market in forecasting market price movement and the volatility of the Indonesian Islamic stock market. In addition, both the Kuala Lumpur Syariah and Jakarta Islamic Indices offer potential for diversification to investors who wish to create an Islamic portfolio investment. From the regulator point of view, this study highlighted the fact that the Jakarta Stock Exchange should consider the Malaysian Islamic stock market in setting its policy to control the volatility of the Indonesian Islamic stock market because the source of volatility in Indonesian market is not only from the market itself, but also from the Malaysian market. On the other hand, in controlling the volatility of the Islamic Malaysian market, Bursa Malaysia should only implement a policy related to the Malaysian market because the source of volatility only comes from the local markets. Finally, the policy makers in both markets do not need to implement long‐range measures to reduce the impact of volatility persistence in these markets.

This is the first paper to investigate information transmission and market interdependence between the Islamic stock markets in South East Asia.

This study aimed to know the effect of cross-sectional risk, which comprises business-specific risk and stock market volatility, as a variable for estimating macroeconomic risk in Indonesia. This study observes public companies in Indonesia and Indonesian macroeconomic data from 2004 to 2020. In this study, the author uses term spread as the dependent variable that reflects macroeconomic risk. The cross-sectional risk comprises financial friction (FF), cash flow (CF), debt–service ratio, and stock market volatility as independent variables. By using the Autoregressive Distributed Lag (ARDL) Model method, this study shows that business-specific and stock market risk can estimate macroeconomic risk, so that it becomes an early signal of economic shock, such as recession or high inflation, in the future. The model in this study also examines the cross-sectional risk relationship with other macroeconomic indicators, such as the Consumer Confidence Index (CCI), money supply (M0), and Indonesia’s trade balance (TB).