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- Volatility spillover effect of Pan-Asia’s property portfolio marketsPublication . Mata, Mário Nuno; Razali, Muhammad Najib; Bentes, Sonia; Vieira, IsabelThis study assesses the spillover effect of the listed property companies that cover pan-Asian countries, namely Malaysia, Thailand, Indonesia, Singapore, Vietnam, South Korea, Japan, China, the Philippines, and Hong Kong. The impact of market integration will create a spillover effect to the countries’ economic performances, in particular the property market. As macroeconomic factors have high correlation with the performance of property security markets, it is therefore important to study the spillover effect by integrating the macroeconomic factors. This study has employed the exponential generalised autoregressive conditional heteroscedasticity (EGARCH) technique to develop the volatility spillover effect among pan-Asian countries. The results reveal high volatility of listed property companies recorded in Hong Kong and China, while Singapore, The Philippines and Japan have shown low volatility spillovers. In terms of macroeconomic factors, gross domestic product (GDP) and money supply (MS) are the most significant factors in influencing the volatility spillover effect among pan-Asian countries. From the standpoint of regional investors, the volatility spillover characteristics of pan-Asian countries will aid property stakeholders in the region in developing their own methods for making investment decisions in the property security market. Furthermore, in uncertain conditions of the financial market, this study will elevate the transparency of the pan-Asian property portfolio market by providing information on the property market volatility spillovers.
- Blockchain technology for improving land registration system in an emerging economyPublication . Mata, Pedro; Razali, Muhammad Najib; Dantas, Rui; Mata, Mário Nuno; Abdul Jalil, Rohaya; Moleiro Martins, José; Zainuddin, AinurZaireen; Yunos, Norhidayah MohdLand registration requires complex sensitive data which requires a decentralised environment. Current technology only concentrates on the database storage which is less secure and can be exposed to any misconduct. This is due to the characteristics of the database having problems with unstructured data and non-relational databases. Fraud is one the major problems and is currently a serious problem within the Malaysian land registration system. The blockchain technology creates public ledgers from all complex transactions that have high potential to replace the complicated systems with one simple database. Current practice at the land office has seen the land registration process being very centralised which requires only several persons to validate and authorise the data. Therefore, the need to identify the model of the blockchain technology for land registration is essential. In addition, the foundation of the blockchain technology for the land registration system in Malaysia should be undertaken.