The Experts below are selected from a list of 13482 Experts worldwide ranked by ideXlab platform
Donghang Zhang - One of the best experts on this subject based on the ideXlab platform.
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the Networking Function of investment banks evidence from private investments in public equity
Journal of Corporate Finance, 2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:Abstract We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that investment banks' networks of relationship investors form the basis of their Networking Function. We find that investment banks, especially those with larger investor networks, help issuers attract investors. Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with larger investor networks. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
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the Networking Function of investment banks evidence from private investments in public equity
2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that such relationships form the basis of their Networking Function. We find that investment banks, especially those with stronger Networking abilities, help issuers attract more investors. Investors are more likely to participate in an issue if they have an existing relationship with the issue's investment bank(s). Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with stronger Networking abilities. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
Rongbing Huang - One of the best experts on this subject based on the ideXlab platform.
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the Networking Function of investment banks evidence from private investments in public equity
Journal of Corporate Finance, 2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:Abstract We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that investment banks' networks of relationship investors form the basis of their Networking Function. We find that investment banks, especially those with larger investor networks, help issuers attract investors. Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with larger investor networks. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
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the Networking Function of investment banks evidence from private investments in public equity
2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that such relationships form the basis of their Networking Function. We find that investment banks, especially those with stronger Networking abilities, help issuers attract more investors. Investors are more likely to participate in an issue if they have an existing relationship with the issue's investment bank(s). Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with stronger Networking abilities. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
Zhaoyun Shangguan - One of the best experts on this subject based on the ideXlab platform.
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the Networking Function of investment banks evidence from private investments in public equity
Journal of Corporate Finance, 2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:Abstract We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that investment banks' networks of relationship investors form the basis of their Networking Function. We find that investment banks, especially those with larger investor networks, help issuers attract investors. Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with larger investor networks. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
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the Networking Function of investment banks evidence from private investments in public equity
2008Co-Authors: Rongbing Huang, Zhaoyun Shangguan, Donghang ZhangAbstract:We examine investment banks' Networking Function in capital markets, using a sample of Private Investments in Public Equity (PIPEs). We argue that investment banks develop relationships with investors through repeat dealings, and that such relationships form the basis of their Networking Function. We find that investment banks, especially those with stronger Networking abilities, help issuers attract more investors. Investors are more likely to participate in an issue if they have an existing relationship with the issue's investment bank(s). Correspondingly, an issuer that desires more investors is more likely to hire an investment bank than place the shares directly. We also find that issuers pay higher fees to hire investment banks with stronger Networking abilities. Our empirical findings suggest that the Networking Function of investment banks is important in securities offerings.
Kanglin Yin - One of the best experts on this subject based on the ideXlab platform.
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performance anomaly detection models of virtual machines for network Function virtualization infrastructure with machine learning
International Conference on Artificial Neural Networks, 2018Co-Authors: Juan Qiu, Yiqun Lin, Jiaye Zhu, Kanglin YinAbstract:Networking Function Virtualization (NFV) technology has become a new solution for running network applications. It proposes a new paradigm for network Function management and has brought much innovation space for the network technology. However, the complexity of the NFV Infrastructure (NFVI) impose hard-to-predict relationship between Virtualized Network Function (VNF) performance metrics (e.g., latency, throughput), the underlying allocated resources (e.g., load of vCPU), and the overall system workload, thus the evolving scenario of NFV calls for adequate performance analysis methodologies, early detection of performance anomalies plays a significant role in providing high-quality network services. In this paper, we have proposed a novel method for detecting the performance anomalies in NFV infrastructure with machine learning methods. We present a case study on the open source NFV-oriented project, namely Clearwater, which is an IP Multimedia Subsystem (IMS) NFV application. Several classical classifiers are applied and compared empirically on the anomaly dataset which is built by ourselves. Considering the risk of over-fitting issue, the experimental results show that neutral networks is the best anomaly detection model with the accuracy over 94%.
Juan Qiu - One of the best experts on this subject based on the ideXlab platform.
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performance anomaly detection models of virtual machines for network Function virtualization infrastructure with machine learning
International Conference on Artificial Neural Networks, 2018Co-Authors: Juan Qiu, Yiqun Lin, Jiaye Zhu, Kanglin YinAbstract:Networking Function Virtualization (NFV) technology has become a new solution for running network applications. It proposes a new paradigm for network Function management and has brought much innovation space for the network technology. However, the complexity of the NFV Infrastructure (NFVI) impose hard-to-predict relationship between Virtualized Network Function (VNF) performance metrics (e.g., latency, throughput), the underlying allocated resources (e.g., load of vCPU), and the overall system workload, thus the evolving scenario of NFV calls for adequate performance analysis methodologies, early detection of performance anomalies plays a significant role in providing high-quality network services. In this paper, we have proposed a novel method for detecting the performance anomalies in NFV infrastructure with machine learning methods. We present a case study on the open source NFV-oriented project, namely Clearwater, which is an IP Multimedia Subsystem (IMS) NFV application. Several classical classifiers are applied and compared empirically on the anomaly dataset which is built by ourselves. Considering the risk of over-fitting issue, the experimental results show that neutral networks is the best anomaly detection model with the accuracy over 94%.