A neural network metamodel approach to capital investment decision analysis

Author(s):  
R. Chaveesuk ◽  
A.E. Smith
Author(s):  
Santosh Kumar ◽  
Roopali Sharma

Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision analysis tool.


2020 ◽  
pp. 23-30 ◽  
Author(s):  
Santosh Kumar ◽  
Roopali Sharma

Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision analysis tool.


Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1106
Author(s):  
Jaewon Jung

Though the importance of organizational behavior and human decision processes within firms for the firm performance has largely been recognized in the business and management literature, much less attention has been devoted to studying such implications in the international trade context. This paper develops a general-equilibrium trade model in which heterogeneous workers make an investment decision in acquiring advanced managerial skills and choose their optimal effort level based on their comparative advantage. In doing so, we show how globalization-induced human capital accumulation within firms leads to sustainable economic growth. We also show that workers’ organizational belief and CEO’s managerial vision may be an important element for the human capital formation within firms and for the performance of firms in a global economy.


2013 ◽  
Vol 734-737 ◽  
pp. 1617-1620
Author(s):  
Wei Jin

Developing the waterway infrastructure construction can improve the efficiency of energy utilization, reduce the energy consumption intensity and carbon dioxide emissions. Till the year 2020, China plan to complete 19,000 kilometers high grade channel. Construction of water infrastructure construction requires a large capital investment. However, the main financial source of funding the construction of transportation infrastructure at present in China is special financial allocation of the government. The unitary financing structure as well as the funding pressure has leaded to some serious financing problems. This paper applied the real options theory to the waterway infrastructure construction financing, analyzed the limitations of the NPV method and the advantages of real option method in investment decision of waterway infrastructure construction, and took an example to show its feasibility.


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