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1. |
Record Nr. |
UNINA9910449888903321 |
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Titolo |
Vision for business schools [[electronic resource] /] / guest editor Eric Cornuel |
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Pubbl/distr/stampa |
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Bradford, England, : Emerald Group Publishing, c2005 |
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ISBN |
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1-280-50958-9 |
9786610509584 |
1-84544-802-2 |
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Descrizione fisica |
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1 online resource (66 p.) |
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Collana |
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Journal of management development ; ; v.24, no. 9 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Business schools |
Occupational training |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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CONTENTS; Editorial boards; Guest editorial; The future of business schools; Strategy means choice: also for today's business school!; Professionalizing global management for the twenty-first century; Academic talent: Quo vadis? Recruitment and retention of faculty in European business schools; The role of business schools in society |
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Sommario/riassunto |
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This high profile e-book is an attempt to gather a number of opinions and visions from leaders in the field of business education. Business schools are an essential component of market economies and optimizing their competitivenesss, relevance and performance is of the utmost importance. This e-book includes papers by Gabriel Hawawini, Dean of INSEAD, Peter Lorange, Nestlé Professor at IMD, Angel Cabrera, President of Thunderbird, Garvin School of International Management, Paul Verhaegen, Dean of RSM, Erasmus University and Eric Cornuel, Director General and CEO of the EFMD. |
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2. |
Record Nr. |
UNINA9910821161303321 |
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Titolo |
Handbook of high-frequency trading and modeling in finance / / edited by Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2016] |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (455 p.) |
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Collana |
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Wiley handbooks in financial engineering and econometrics |
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Disciplina |
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Soggetti |
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Investment analysis - Mathematical models |
Investments - Mathematical models |
Finance - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Handbook of High-Frequency Trading and Modeling in Finance; Contents; Notes on Contributors; Editors; List of Contributors; Preface; 1 Trends and Trades; 1.1 Introduction; 1.2 A trend-based trading strategy; 1.2.1 signaling and trends; 1.2.2 gain over a subperiod; 1.3 CUSUM timing; 1.3.1 cusum process and stopping time; 1.3.2 a cusum timing scheme; 1.3.3 us treasury notes, cusum timing; 1.4 Example: Random walk on ticks; 1.4.1 random walk expected gain over a subperiod; 1.4.2 simple random walk, CUSUM timing; 1.4.3 lazy simple random walk, cusum timing; 1.5 CUSUM strategy Monte Carlo |
1.6 The effect of the threshold parameter1.7 Conclusions and future work; Appendix: Tables; References; 2 Gaussian Inequalities and Tranche Sensitivities; 2.1 Introduction; 2.2 The tranche loss function; 2.3 A sensitivity identity; 2.4 Correlation sensitivities; Acknowledgment; References; 3 A Nonlinear Lead Lag Dependence Analysis of Energy Futures: Oil, Coal, and Natural Gas; 3.1 Introduction; 3.1.1 causality analysis; 3.2 Data; 3.3 Estimation techniques; 3.4 Results; 3.5 Discussion; 3.6 Conclusions; Acknowledgments; References; 4 Portfolio Optimization: Applications in Quantum Computing |
4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; |
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4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model |
4.5.3 The WMIS Minimum-Risk, Max Return Model4.6 Discussion; 4.6.1 Hardware Limitations; 4.6.2 Model Limitations; 4.6.3 Implementation Limitations; 4.6.4 Future Research; 4.7 Conclusion; Acknowledgments; Appendix 4.A: WMIS Matlab Code; References; 5 Estimation Procedure for Regime Switching Stochastic Volatility Model and Its Applications; 5.1 Introduction; 5.1.1 the original motivation; 5.1.2 the model and the problem; 5.1.3 a brief historical note; 5.2 The methodology; 5.2.1 obtaining filtered empirical distributions at ; 5.2.2 obtaining the parameters of the markov chain |
5.3 Results obtained applying the model to real data5.3.1 part i: financial applications; 5.3.2 part ii: physical data application. temperature data; 5.3.3 part iii: analysis of seismometer readings during an earthquake; 5.3.4 analysis of the earthquake signal: beginning; 5.3.5 analysis: during the earthquake; 5.3.6 analysis: end of the earthquake signal, aftershocks; 5.4 Conclusion; Appendix 5.A:Theoretical results and empirical testing; 5.A.1 how does the particle filter work?; 5.A.2 theoretical results about convergence and parameter estimates; 5.A.3 markov chain parameter estimates |
5.A.4 empirical testing |
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