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During the second half of 2008, the government implemented some policies aiming to solve the financial problems for people. From June 27th 2008 to February 19th 2009, the Central Bank continuously reduced the rediscount rate, account for 2.9%. At the same period, the rates of accommodations to secured loans and temporary accommodations were also decreasing. Due to the fluctuation of real estate market and the unpredictable situation of the international financial market, the risk of mortgage loans has been increasing. Base on the background of credit crunch, in this research some strategies of mortgage loans and their benefit will be introduced with the intent to provide a direction of strategies implement.
The sample company in this paper is a state-run bank which specializes in real estate market. Its core business contains not only land-purchasing loans, construction financing, and working capital loans for the building industry, but also household loans in bulk general mortgage and policy mortgage loans. Nevertheless, some latest products such as wealth management, the real estate trust, and derivatives are also under developed. All kinds of the housing loans for 41.6% of the total lending business, therefore, the cycle of real estate market plays and important role on the bank’s credit quality and revenues.
In this research, the housing loans of the sample bank will be analyzed by three different aspects, which are volume, price, and quality. The result of this research could be used to make strategies in response to different financial conditions and scenarios of real estate market. This research paper is consisted of three topics; first of all, the pricing model, which could measure the impact of its pricing strategies to its revenue. Secondly, optimal volume, which could derive the correlation between the changes of market share, operating conditions and the overall or regional policies. The 3rd one is about risk management, executing pre-and post management plans to control the credit quality. Due to the cross-effect of the policy implements, multi-variables are adopted in this paper, which are “average interest rate”, “interest income”, “profit contribution”, ”market share”, “balance of housing loans”, “the amount of new loans”, and “non-performing rations”. Finally, the benefit of these policies will be categorized by the changes of each variable and the conclusion will be drawn.
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