Joint Advanced Research Center
Joint Advanced Research Center
Li C.,Hefei University of Technology |
Li C.,Joint Advanced Research Center |
Li C.,City University of Hong Kong |
Lim C.W.,Joint Advanced Research Center |
And 3 more authors.
Smart Materials and Structures | Year: 2011
This paper investigates the natural frequency, steady-state resonance and stability for the transverse vibrations of a nanobeam subjected to a variable initial axial force, including axial tension and axial compression, based on nonlocal elasticity theory. It is reported that the nonlocal nanoscale has significant effects on vibration behavior, which results in a new effective nonlocal bending moment different to but dependent on the corresponding nonlocal bending moment. The effects of nonlocal nanoscale and the variation of initial axial force on the natural frequency as well as the instability regions are analyzed by the perturbation method. It concludes that both the nonlocal nanoscale and the initial tension, including static and dynamic tensions, cause an increase in natural frequency, while an initial compression causes the natural frequency to decrease. Instability regions are also greatly influenced by the nonlocal nanoscale and initial tension and they become smaller with stronger nonlocal effects or larger initial tension.
Cheng L.,Joint Advanced Research Center |
Wang H.,City University of Hong Kong |
Chen H.,University of Science and Technology of China
ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings | Year: 2010
Close ties may exist between firms due to legal (such as parent-subsidiary), financial (such as trade-credit), or business (such as supplier-customer, competitor, partner) and other relationships. Due to these kinds of fundamental interfirm relationships between entities and to the propagation of information, there are some correlations between stocks valuations exist. In this paper, a conceptual model is proposed to help shareholders, analysts, and portfolio managers to search for candidate firms affected by a financially distressed firm and analyze possible valuation effects based on inter-firm connection. © 2010 IEEE.
Ren J.Sj.,City University of Hong Kong |
Wang W.,City University of Hong Kong |
Wang J.,Joint Advanced Research Center |
Liao S.S.,City University of Hong Kong
Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 | Year: 2013
With the proliferation of its applications in various industries, sentiment analysis by using publicly available web data has become an active research area in text classification during these years. It is argued by researchers that semi-supervised learning is an effective approach to this problem since it is capable to mitigate the manual labeling effort which is usually expensive and timeconsuming. However, there was a long-term debate on the effectiveness of unlabeled data in text classification. This was partially caused by the fact that many assumptions in theoretic analysis often do not hold in practice. We argue that this problem may be further understood by adding an additional dimension in the experiment. This allows us to address this problem in the perspective of bias and variance in a broader view. We show that the well-known performance degradation issue caused by unlabeled data can be reproduced as a subset of the whole scenario.We argue that if the bias-variance tradeoff is to be better balanced by a more effective feature selection method unlabeled data is very likely to boost the classification performance.We then propose a feature selection framework in which labeled and unlabeled training samples are both considered. We discuss its potential in achieving such a balance. Besides, the application in financial sentiment analysis is chosen because it not only exemplifies an important application, the data possesses better illustrative power as well. The implications of this study in text classification and financial sentiment analysis are both discussed. Copyright © 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Zhai Y.,Joint Advanced Research Center |
Proceedings - 3rd International Conference on Business Intelligence and Financial Engineering, BIFE 2010 | Year: 2010
Option pricing problem plays an extremely important role in quantitative finance. In complete market, Black-Scholes-Merton theory has been central to the development of financial engineering as both discipline and profession. However, in an incomplete market,there isn't any replicating portfolios for those options, and thus, we cannot apply the law of one price in order to obtain a unique solution. Fortunately, we can get a fair price via local-equilibrium principle. In this paper, we develop Dennis Yang's theory to price the exotic option-Geometric Asian option, and analysis the relationship of the price and the current position. We get the explicit expression for the market price of the risk (followed Dennis Yang, we call it personal price of the risk on asian options). The position effect plays a significant role on option pricing, because it can tell the trader how many and which direction to trade with the market in order to reach the local-equilibrium with the market. © 2010 IEEE.