Systematic Literature Review on Robo-Advisery Adoption towards Young People

In the past two decades, numerous studies have focused on robo-advisers in financial technology. Robo-advisers involve automated financial advice for investors, tailoring portfolios based on risk tolerance and objectives, and automatic portfolio-monitoring and rebalancing. While robo-advisers have seen progress in adoption, there are still untapped potentials. This abstract presents a systematic literature review summarising the current state-of-the-art in robo-advisery adoption. By following a detailed, systematic literature-review methodology, the review provides valuable insights for practitioners, potential investors, and researchers seeking to identify areas for further investigation in robo-advisery adoption

Does financial efficiency modify CO2 emission? Using panel ARDL-PMG in the case of five selected ASEAN countries

Financial efficiency reduces carbon emissions by optimising resource usage, encouraging innovation and investment in low-carbon technology and solutions, and increasing transparency and accountability. This study examined the short- and long-term equilibrium relationships between CO2 emissions, financial efficiency, GDP, and energy consumption in five ASEAN nations from 1980 to 2020. Data stationarity was tested using the panel unit root test. The Autoregression Distribution Lag Pooled Mean Group (ARDL-PMG) model is best for empirical research because the data are long time series. The ARDL-PMG model shows that all variables affect CO2 emissions in the short term. Gross domestic product per capita and energy use affect CO2 emissions but not financial efficiency over time

Risk-adjusted performance analysis on Islamic and conventional equity unit trusts in Malaysian market / Suhaily Maizan Abdul Manaf , Siti Zulaikha Rahmat and Muhammad Faris Zaharudin

Unit trust has been considered as a good instrument among other investments for medium to long-term financial plans. There are many types of unit trusts offered in the unit trust market in Malaysia, including equity funds, money market funds, bond funds, hybrid funds, debt funds, commodity funds, real estate funds, and exchange traded funds. However, this study attempts to focused on the equity unit trust since this types of unit trust is most preferable among unit holders as it offers more return to the active and risk taker investors in terms of current income and capital appreciation as well as quick and easy returns. Moreover, instead of only looking at the conventional funds, this study also focused on the Islamic funds as this kind of funds increasingly growing at fast pace. Since more than 500 funds circulating in the market, it becomes more difficult for the investor to select the best fund to their investment. Therefore, the problem that arises is how the prospective investors can ascertain and measure the risk level of the unit trust particularly in terms of performance and the return of the funds. Thus, this study has the aim to determine the performance of equity unit trusts by using risk-adjusted measurement analysis, to study the level of risk and return concerned by each of the equity funds by using standard deviation (total risk), beta (systematic risk), and average return in different economic scenario, to determine performance measurement results by using Sharpe, Treynor, and Jensen Alpha index for each equity unit trusts selected in different economic scenario to standardize of using FTSE Bursa Malaysia KLCI and FTSE Bursa Malaysia EM AS Shari’ah Index as the main benchmark for conventional and Islamic risk-adjusted analysis, and FTSE Bursa Malaysia KLCI as the market index for the performance analysis, and to analyze and determine which funds that performs well to the others in different economic scenario. To that extent, this study focused on the conventional and Islamic launched equity funds that traded in the Malaysian market with the sample included 15 conventional equity funds and 10 Islamic equity funds from 11 management companies. Sharpe, Treynor, and Jensen’s Alpha model are employed is order to determine the performance of each selected equities. The data of the study is in the monthly Net Asset Value for five years period from January 2006 to December 2010

CSETT memudahkan proses penyediaan jadual waktu kuliah / Zaimi Mohamed … [et al.]

Antara langkah-langkah aw al yang sangat penting dalam proses penyediaan jadual waktu kuliah adalah mengenal pasti kursus-kursus yang perlu ditawarkan dan menentukan bilangan kumpulan yang perlu dibuka bagi setiap kursus. Kesilapan yang berlaku pada peringkat awal ini bukan sahaja akan menimbulkan masalah kepada para pelajar malahan akan mengganggu banyakpihak Kes-kes kesilapanpenetapan bilangan kumpulan kuliah yang sering berlaku pada setiap semester menyebabkan sebilangan pelajar tidakdapat mendaftar kursus manakala kes-kes bilangan kumpulan yang dibuka melebihi keperluan pula menyebabkan pensyarah yang terlibat membazir masa di kelas-kelas kosong. Situasi yang berlaku juga memberi tekanan kepada para pensyarah yang terlibat sebagai ahli jawatankuasa jadual waktu kuliah kerana kekerapan pindaan jadual waktu dan tugastugas ad-hoc yang perlu dilakukan memaksa mereka menangguhkan kuliah. Berpandukan Program Transformasi Universiti Teknologi MARA (TRANS4U), Fakulti Pengurusan dan Perniagaan (FPP), UiTMCawangan Terengganu telah mengambil inisiatifuntuk meneliti masalah yang berlaku seterusnya mencadangkan langkah penambahbaikan kepada proses yang berkaitan. Berdasarkan punca-punca masalah yang telah dianalisis serta beberapa cadangan yang dikemukakan, sistem pengurusan data secara elektronik yang dikenali sebagai Course Setting and Tracking System (CSETT) telah dibangunkan. CSETT memudahkan para pelajar membuat perancangan pengajian secara seragam dan sistematik serta menyediakan maklumat terkini berkenaan keperluan kursus untuk kegunaan Pentadbir Akademik dan pihak-pihak yang berkenaan. Dengan maklumatyang tepat serta mudah dicapai proses penyediaanjadualwaktu kuliah dapat dilakukan dengan lebih tepat dan cepat. Keberkesananprojek terbukti apabila tempoh penyediaan Jadual Waktu Kuliah dapat dikurangkan daripada 14 hari kepada tujuh hari

Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies

Artificial intelligence (AI) has had a tremendous impact on financial management research, revolutionizing how financial data is analyzed and decisions are made. It has the ability to improve accuracy and efficiency while also lowering costs and providing fresh insights into financial markets and investments. This review will look at some of the important areas of financial management research that AI has influenced. One of the most notable effects of AI on financial management research has been in risk management. AI algorithms, with their ability to analyze vast amounts of data, can detect patterns and anomalies that humans may not notice right away and have had a significant impact on financial forecasting and prediction, generating predictions about future market movements and investment opportunities by analyzing historical data, market trends, and other relevant factors. In conclusion, artificial intelligence (AI) has had a tremendous impact on financial management research, revolutionizing how financial data is analyzed and decisions are made, with significant potential to disrupt traditional financial management techniques. AI has the ability to increase accuracy and efficiency, cut costs, and provide fresh insights into financial markets and investments. As AI technology advances, its impact on financial management studies is likely to rise

Profitability performance analysis: The evidence from private telecommunication firms in Malaysia

This paper examines the macroeconomic factors influencing the profitability performance of private telecommunication firms in Malaysia. A yearly basis data between 2007 and 2016, which contained a total number of 49 data observations were analyzed using the Random Effects Model to estimate the factors of concern. The sources of these data have been predominantly extracted from DataStream. The variables involved in this investigation were liquidity (LIQ), leverage (LEV), firm size (SIZE), and gross domestic product (GDP). This study has been motivated by the declining profitability performance of private telecommunication firms in Malaysia, which has been attributed to the decreasing return on assets. The findings suggest that leverage has a significant and negative relationship with return on assets, while liquidity has a negative insignificant towards the firms’ profitability. On the other hand, firm size and gross domestic product have a substantial and positive relationship with return on assets. Moreover, the findings seemed to suggest that the bigger the size of a firm, the higher the total assets would be, which in turn, would improve the firm’s profitable performance. In sum, the prerequisite attribute that a telecommunication firm needed to possess in attaining high profitability performance was its strong and high productivity in the management of its total assets