IMPLEMENTASI MANAJEMEN DANA PADA BANK SYARIAH

Tulisan ini bertujuan untuk mengkaji impelementasi manajemen dana pada bank syariah. Pengelolaan dana Bank Syariah merupakan upaya untuk mengarahkan posisi dana yang diterima bank syariah dari kegiatan mengumpulkan dana menyalurkan dana dalam bentuk pembiayaan sehingga bank syariah tetap mampu memenuhi kriteria-kriteria likuiditas, rentabilitas dan solvabilitas. Sumber pendanaan bank syariah diantaranya berasal dari dana sendiri, Dana Pihak Ketiga (DPK) dan dana pinjaman. Dana bank syariah bisa berasal dari modal yaitu modal inti (core capital), kuasi ekuitas (Mudharabah Account), dan dana titipan (wadiah). Sementara itu penggunaan dana pada bank syariah terdiri atas pengeluaran untuk Earning Assests dan Non Earning Assets. Metode yang digunakan bank syariah didalam mengalokasikan dananya dibedakan menjadi dua pendekatan dengan mempertimbangan sumber dana yang diperoleh bank syariah yaitu Pool of fund approach dan Asset allocation approach.

Optimal Asset Allocation for CRRA and CARA Insurers under the Vasicek Interest Rate Model

This paper considers the reinsurance-investment problem with interest rate risks under constant relative risk aversion and constant absolute risk aversion preferences, respectively. Stochastic control theory and dynamic programming principle are applied to investigate the optimal proportional reinsurance-investment strategy for an insurer under the Vasicek stochastic interest rate model. Solving the corresponding Hamilton-Jacobi-Bellman equation via the Legendre transform approach, the optimal premium allocation strategies maximizing the expected utilities of terminal wealth are derived. In addition, several sensitivity analyses and numerical illustrations are given to analyze the impacts of different risk preferences and interest rate fluctuation on the optimal strategies. We find that the asset allocation and reinsurance ratio of the insurer are correlated with risk preference coefficient and interest rate fluctuation, and the insurance company may adjust the reinsurance-investment strategy to deal with interest rate risk.

Correlation and Dynamic Volatility Spillover between Green Investing Market, Coal Market, and CO2 Emissions: Evidence from Shenzhen Carbon Market in China

With the continuous expansion scale of carbon market and the development of carbon trading mechanism, carbon emission right, as a new financial asset, is being brought into the category of asset allocation by more and more investors. As the burning of coal is the major source of carbon dioxide, China is facing serious ecological and environmental problems, which restrict the development of low-carbon economy. In order to reach the carbon dioxide emission reduction targets and promote the development of green investment market, the carbon market should be a good emission reduction measure. The correlation and dynamic volatility spillover among coal, carbon, and green investing markets are becoming a hot topic for current research. The paper applies both VAR-GARCH-DCC and VAR-GARCH-BEKK models to draw some significant conclusions. (1) The green investment market, coal market, and Shenzhen carbon market show obvious time-varying correlation, and the volatility of the green investment market is higher. (2) There is a bidirectional Granger causality between green investing and coal markets. (3) The investment portfolio and hedging mechanism of the market are established to reduce the risk and help investors obtain higher returns.

Optimal Asset Allocation Subject to Withdrawal Risk and Solvency Constraints

This paper investigates the optimal asset allocation of a financial institution whose customers are free to withdraw their capital-guaranteed financial contracts at any time. In accounting for the asset-liability mismatch risk of the institution, we present a general utility optimization problem in a discrete-time setting and provide a dynamic programming principle for the optimal investment strategies. Furthermore, we consider an explicit context, including liquidity risk, interest rate, and credit intensity fluctuations, and show by numerical results that the optimal strategy improves both the solvency and asset returns of the institution compared to a standard institutional investor’s asset allocation.

Optimization of the impact measurement of market structure on liquidity and volatility

Liquidity and volatility are the two barometers that allow stock markets to appreciate in terms of attractiveness, profitability and efficiency. Several macroeconomic and microstructure variables condition the level of liquidity that directly impact the asset allocation decisions of different investor profiles − institutional and individuals − and therefore the dynamics of the market as a whole. Volatility is the regulatory component that provides information on the level of risk that characterizes the market. Thus, the appreciation of these two elements is of considerable help to fund managers looking to optimize their equity pockets. In this work, we will use the liquidity ratio as a proxy variable for the liquidity of the Moroccan stock market, to estimate the indicators and factors that determine its short- and long-term variability. The appropriate econometric method would be to estimate an error correction vector model (ECVM) which has the property of determining the long- and short-term relationships between the variables. The volatility of the MASI index will be the subject of a second estimate to capture the shape of the function of its evolution.

Bank asset allocation and finance structure under uncertainty in Vietnam

PurposeThe paper investigates the link between uncertainty and banks' balance sheet reactions.Design/methodology/approachThe study employs bank-level data in Vietnam during 2007–2019 to measure micro uncertainty in banking through the dispersion of bank-level shocks. Empirical regressions are performed by the two-step system generalized method of moments (GMM) estimator and then verified using the least squares dummy variable corrected (LSDVC) technique.FindingsBanks tend to reduce risky loans, hoard more liquidity and decrease financial leverage in response to higher uncertainty. The relationship between uncertainty and banks' balance sheet reactions is more pronounced for banks that suffer more credit risk and overall risk, thus supporting the precautionary motive of banks. Additionally, uncertainty also leads to a decline in the Net Stable Funding Ratio (NSFR) under Basel III, implying that banks may fail to find a more stable source of funding and be more subject to maturity mismatch during periods of higher uncertainty.Originality/valueThe paper is the first to explore comprehensively the relationship between uncertainty and banks' balance sheet aspects as simultaneously estimated by bank loans, bank liquidity and bank leverage. While many other uncertainty measures display aggregate uncertainty sources, an important contribution in this study is to anatomize uncertainty originating exclusively from banking at a disaggregate level. Besides, shedding light on how uncertainty drives bank funding liquidity as captured by the NSFR under Basel III is entirely novel in the literature.