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mplex hedging method. Even more interesting, especially interested in, it has been the development of the model that can be used to migrate to measure financial risk at the portfolio level, and it can also be used to allocate the capital. These can be broadly divided into two types; proprietary financial risk control models and the vendor's sales model. Despite the nature of their general application, it is almost universally quite complex. As clear reasons, there is not enough information you can get about the ability for the former category of these models. However, some of the details are generally the latter category. This category includes financial risk control models as follows. 
First, for JP Morgan sales, its financial risk control is one of the first model portfolios and developed for the assessment of financial risk. It incorporates a method for evaluating changes in counterparty financial quality of the portfolio's value-at-risk generated. It establishes a risk profile for each counterparty portfolio and combined with the volatility of individual instruments to model the volatility of the total portfolio. The loan loss reserve sets methods to make it assess the risk capital illiquid loans environment. Therefore, the method may be better suited for a company whose loan portfolio of retail and institutional rather than those bonds (Fatemi, 2009). In addition, as a loan pricing corporation, KMV portfolio manager measures the risk and return characteristics of the portfolio, and allows users to explore personal assets at risk to change the incremental effect. It also provides a large combination of changes to assess the potential changes and inspection of the tactical and strategic effect. It can be a valuable tool to determine the allocation of the total capital requirements and economic capital (Luck, 2011). Finally, McKinsey Company financial risk concept is achieved in default, and the financial risk control is estimated in specific countries and industries. It uses the default rates of speculation into national and industry-specific global macroeconomic development. It then maps these price cumulative probabilities of migration by country and industry (Howton, 2010).
This brief description of these models have shown that increasing the complex of financial risk control has been caused by the same set of complex design models to measure and manage the risk. Then it is to provide a picture of financial results for Tesla Motors in the United States using these models as above.
 
2.2 Financial risk control for Tesla Motors 
Income for the second quarter of 2011 was $ 28.4 million, which is a 36% increase than in the previous quarterly report. The gross profit margin increased to 22%, including 19% from the previous quarter and 8% from the second quarter of 2010. The net loss for the quarter to $ 29.5 million, compared to the previous quarter to $ 38.5 million. It is reported that higher gross margins and stable top-line growth are driven by the best quarter since the third quarter of 2009, with new sports car orders and growing power activities. It is shown that people can drive the beautifully designed and high-performance electric cars, and it stressed Tesla's technology leadership. With respect to the S-type development, it can make its components and vehicle production for facilities in Tesla Motors (Dolde, 2005). However, there are certain risks and uncertainties, and actua本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。