Browsing by Author "Chin, Hsiao-Ya"

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Design of Web-based financial learning environment
(2006)
Chen, An-Pen
;
Chin, Hsiao-Ya
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
This study proposes the designing concepts of developing a comprehensive financial learning environment which is valuable for business schools as a reference to construct their learning platforms. Modern education stresses both theory and field experience. However, students are unlikely to obtain sufficient investment field experience in the present educational environment because of the enormous capital needs of financial operations. Thus, a key limitation of financial education is the removal of investment risks associated with money flow during investment practice. In order to remove these educational limitations, this paper proposes an investment simulations environment to exercise real market practices in financial and investment courses and proposes a referential application of scenario-based learning for investment learning. The investigation results indicate that IFILE learning is more effective, interesting and realistic than learning in the traditional classrooms.
Optimally pricing European options with real distributions
(2007)
Sheng, Chieh-Chung
;
Chin, Hsiao-Ya
;
Chen, An-Pin
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Most option pricing methods use mathematical distributions to approximate underlying asset, behavior. However, it is difficult to approximate the real distribution using pure mathematical distribution approaches. This study first introduces an innovative computational method of pricing European options based on the real distributions of the underlying asset. This computational approach can also be applied to expected value related applications that require real distributions rather than mathematical distributions. The contributions of this study include the following: a) it solves the risk neutral issue related to price options with real distributions, b) it proposes a simple method adjusting the standard deviation according to the practical need to apply short term volatility to real world applications and c) it demonstrates that modern databases are capable of handling large amounts of sample data to provide efficient execution speeds.
Using computational methodology to price European options with actual payoff distributions
(2007-10-01)
Sheng, Chieh-Chung
;
Chin, Hsiao-Ya
;
Chen, An-Pin
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Most option pricing methods use mathematical distributions to approximate underlying asset behavior. However, pure mathematical distribution approaches have difficulty approximating the real distribution. This study first introduces an innovative computational method for pricing European options based on the real payoff distribution of the underlying asset. This computational approach can also be applied to applications related to expected value that require real distributions rather than mathematical distributions. This study makes the following contributions: (a) solving the risk neutral issue related to price options with real payoff distributions; (b) proposing a simple method for adjusting standard deviation based on the need to apply short term volatility to real world applications; (c) demonstrating an option pricing algorithm that is easy to apply to cross field applications.