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Alternative Investments and Strategies.
Title:
Alternative Investments and Strategies.
Author:
Kiesel, Rudiger.
ISBN:
9789814280112
Personal Author:
Physical Description:
1 online resource (414 pages)
Contents:
CONTENTS -- Preface -- Part I. Alternative Investments -- Chapter 1. Socially Responsible Investments Sven Hroß, Christofer Vogt and Rudi Zagst -- 1.1 Introduction -- 1.2 Recent Research on SRI -- 1.3 How Sustainable is Sustainability? -- 1.3.1 Description of the Dataset -- 1.3.2 Introduction to Markov Transition Matrices -- 1.3.3 Results of Markov Transition Matrices -- 1.4 SRI in Portfolio Context -- 1.4.1 Description of the Dataset and Statistical Properties -- 1.4.2 Markov-Switching Model -- 1.4.3 Fitting the Model Parameters -- 1.4.4 Simulation of Returns -- 1.4.5 Portfolio Optimization Models -- 1.4.6 Definition of Investor Types -- 1.4.7 Optimal Portfolios -- 1.5 Conclusion -- References -- Chapter 2. Listed Private Equity in a Portfolio Context Philipp Aigner, Georg Beyschlag, Tim Friederich, Markus Kalepky and Rudi Zagst -- 2.1 Introduction -- 2.2 Defining Private Equity Categories -- 2.2.1 Financing Stages -- 2.2.2 Divestment Strategies -- 2.2.3 Type of Financing -- 2.2.4 Classification of Private Equity Fund Investments -- 2.2.4.1 Venture capital funds -- 2.2.4.2 Buyout funds -- 2.2.4.3 Leveraged buyouts (LBO) -- 2.3 Investment Possibilities - One Asset, Many Classes -- 2.3.1 Direct Investments -- 2.3.2 Private Equity Funds -- 2.3.2.1 Key players -- 2.3.3 Cash Flow Structure of a Private Equity Fund -- 2.3.4 Fund-of-Funds -- 2.3.4.1 Structure of a private equity fund-of-funds -- 2.3.4.2 Advantages -- 2.3.4.3 Disadvantages -- 2.3.5 Publicly Traded Private Equity -- 2.3.6 Secondary Transactions -- 2.3.6.1 Types of secondary transactions -- 2.3.6.2 Buyer's motivation -- 2.4 Private Equity as Alternative Asset Class in an Investment Portfolio -- 2.4.1 Characteristics of LPE Return Series -- 2.4.2 Modeling Return Series with Markov-Switching Processes -- 2.4.2.1 Markov-Switching models -- 2.4.2.2 Fitting the parameters.

2.4.2.3 Simulation of return paths -- 2.4.3 Listed Private Equity in Asset Allocation -- 2.4.3.1 Performance measurement -- 2.4.3.2 Portfolio optimization frameworks -- 2.4.3.3 Definition of investor types -- 2.4.3.4 Optimization of portfolios -- 2.5 Conclusion -- References -- Chapter 3. Alternative Real Assets in a Portfolio Context Wolfgang Mader, SvenTreu and SebastianWillutzky -- 3.1 Introduction -- 3.2 Overview on Alternative Real Assets -- 3.3 Modeling Photovoltaic Investments -- 3.3.1 General Approach -- 3.3.2 Definition of the Investment Project -- 3.3.3 Modeling of Risk Factors -- 3.3.3.1 Economic factors -- 3.3.3.2 Non-economic factors -- 3.3.3.3 Historical analysis of monthly global irradiance -- 3.3.3.4 Monte Carlo analysis of yearly global irradiance -- 3.4 Photovoltaic Investments in a Portfolio Context -- 3.4.1 Setting the Portfolio Context -- 3.4.2 Including Photovoltaic Investments in a Portfolio -- 3.4.3 Results -- 3.5 Conclusion -- References -- Chapter 4. The Freight Market and Its Derivatives Rüdiger Kiesel and Patrick Scherer -- 4.1 Introduction: the Freight Market -- 4.1.1 Vessels -- 4.1.2 Cargo -- 4.1.3 Routes -- 4.2 Freight Rates: What Drives the Market? -- 4.2.1 Demand for Shipping Capacity -- 4.2.2 Supply of Shipping Capacity -- 4.2.3 Costs -- 4.3 Freight Derivatives: Hedging or Speculating? -- 4.3.1 Forward Freight Agreement -- 4.3.2 Freight Futures -- 4.4 Explanatory Variables -- 4.4.1 Explanatory Power -- 4.4.2 Granger Causality -- 4.4.3 Selection Algorithm "Top Five" -- 4.4.4 Cointegration -- 4.5 Predicting Freight Spot and Futures Rates -- 4.6 The Backtesting Algorithm -- 4.7 Conclusion -- References -- Chapter 5. On Forward Price Modeling in Power Markets Fred Espen Benth -- 5.1 Introduction -- 5.2 HJM Approach to Power Forward Pricing -- 5.3 Power Forwards and Approximation by Geometric Brownian Motion.

5.3.1 A Geometric Brownian Motion Dynamics by Volatility Averaging -- 5.3.2 A Geometric Brownian Motion Dynamics by Moment Matching -- 5.3.3 The Covariance Structure Between Power Forwards -- 5.3.4 The Distribution of a Power Forward -- 5.3.5 Numerical Analysis of the Power Forward Distribution -- 5.4 Pricing of Options on Power Forwards -- 5.5 Conclusion -- References -- Chapter 6. Pricing Certificates Under Issuer Risk Barbara Götz, Rudi Zagst and Marcos Escobar -- 6.1 Introduction -- 6.2 The Model -- 6.3 Pricing of Certificates Under Issuer Risk -- 6.3.1 Building Blocks -- 6.3.2 Index Certificates -- 6.3.3 Participation Guarantee Certificates -- 6.3.4 Bonus Guarantee Certificates -- 6.3.5 Discount Certificates -- 6.3.6 Bonus Certificates -- 6.4 Conclusion -- A.1. PROOF OF PROPOSITION 6.1 -- A.2. PROOF OF PROPOSITION 6.2 -- A.3. PROOF OF PROPOSITION 6.3 -- A.4. PROOF OF PROPOSITION 6.4 -- References -- Chapter 7. Asset Allocation with Credit Instruments Barbara Menzinger, Anna Schlösser and Rudi Zagst -- 7.1 Introduction -- 7.2 Simulation Framework -- 7.3 Framework for Total Return Calculation -- 7.4 Optimization Framework -- 7.4.1 Mean-Variance Optimization -- 7.4.2 CVaR Optimization -- 7.5 Model Calibration and Simulation Results -- 7.5.1 Mean-Variance Approach -- 7.5.2 Conditional Value at Risk -- 7.5.3 Comparison of Selected Optimal Portfolios -- 7.6 Summary and Conclusion -- APPENDIX -- References -- Chapter 8. Cross Asset Portfolio Derivatives Stephan Höcht, Matthias Scherer and Philip Seegerer -- 8.1 Introduction to Cross Asset Portfolio Derivatives -- 8.1.1 Definitions and Examples -- 8.2 Collateralized Obligations -- 8.3 A Comparison of CFO with CTSO -- 8.3.1 Structural Features of CFO -- 8.3.2 Structural Features of CTSO -- 8.3.3 The Different Risks -- 8.3.4 Correlation of Tail Events in CTSO.

8.4 Pricing Cross Asset Portfolio Derivatives -- 8.4.1 Pricing Trigger Swaps -- 8.4.2 Pricing nth-to-Trigger Baskets -- 8.4.3 Pricing CTSO -- 8.4.4 Modeling Approaches -- 8.4.4.1 The structural approach -- 8.4.4.2 The copula approach -- 8.4.5 An Example for an nth-to Trigger Basket -- 8.4.5.1 A pricing exercise of Example 3 (structural approach) -- 8.4.5.2 A pricing exercise of Example 3 (copula approach) -- 8.4.5.3 Resulting model spreads -- 8.5 Outlook -- 8.6 Conclusion -- Acknowledgments -- References -- Part II. Alternative Strategies -- Chapter 9. Dynamic Portfolio Insurance Without Options Dominik Dersch -- 9.1 Introduction -- 9.2 Simple Strategies -- 9.2.1 Buy-and-Hold -- 9.2.2 Stop-Loss -- 9.2.3 The Bond Floor Strategy -- 9.2.4 Plain Vanilla CPPI -- 9.3 Historical Simulation I -- 9.4 Advanced Features -- 9.4.1 Transaction Costs -- 9.4.2 Transaction Filter -- 9.4.3 Lock-in Levels -- 9.4.4 Leverage and Constrain of Exposure -- 9.4.5 Rebalancing Strategies for the Risky Portfolio -- 9.4.6 CPPI and Beyond -- 9.5 Historical Simulation II -- 9.5.1 Transaction Costs and Transaction Filter -- 9.5.2 Lock-in Levels -- 9.5.3 The Use of Leverage -- 9.5.4 CPPI on a Multi-Asset Risky Portfolio -- 9.6 Implement a Dynamic Protection Strategy with ETF -- 9.7 Closing Remarks -- Acknowledgment -- References -- Chapter 10.How Good are Portfolio Insurance Strategies? Sven Balder and Antje Mahayni -- 10.1 Introduction -- 10.2 Optimal Portfolio Selection with Finite Horizons -- 10.2.1 Problem (A) -- 10.2.2 Problem (B) -- 10.2.3 Problem (C) -- 10.2.4 Comparison of Optimal Solutions -- 10.3 Utility Loss Caused by Guarantees -- 10.3.1 Justification of Guarantees and Empirical Observations -- 10.3.2 Utility Loss . -- 10.4 Utility Loss Caused by Trading Restrictions and Transaction Costs -- 10.4.1 Discrete-Time CPPI -- 10.4.2 Discrete-Time Option-Based Strategy.

10.4.3 Comments on Utility Loss and Shortfall Probability -- 10.5 Utility Loss Caused by Guarantees and Borrowing Constraints -- 10.6 Conclusion -- References -- Chapter 11. Portfolio Insurances, CPPI and CPDO, Truth or Illusion? Elisabeth Joossens and Wim Schoutens -- 11.1 Introduction -- 11.2 Credit Risk and Credit Default Swaps -- 11.2.1 Credit Risk -- 11.2.2 Credit Default Swaps (CDS) -- 11.3 Portfolio Insurances -- 11.4 Modeling of CPPI Dynamics Using Multivariate Jump-Driven Processes -- 11.4.1 Multivariate Variance Gamma Modeling -- 11.4.2 Swaptions on Credit Indices -- 11.4.2.1 Black's model -- 11.4.2.2 The variance gamma model -- 11.4.3 Spread Modeling by Correlated VG Processes -- 11.4.3.1 The pricing of CPPIs -- 11.4.3.2 Gap risk -- 11.5 Recent Developments for CPPI -- 11.5.1 Portfolio Insurance: The Extreme Value Approach to the CPPI Method -- 11.5.2 VaR Approach for Credit CPPI -- 11.5.3 CPPI with Cushion Insurance -- 11.6 A New Financial Instrument: Constant Proportion Debt Obligations -- 11.6.1 The Structure -- 11.6.2 CPDOs in the Spotlight -- 11.6.3 Rating CPDOs Under VG Dynamics -- 11.7 Comparison Between CPPI and CPDO -- 11.8 Conclusions -- References -- Chapter 12.On the Benefits of Robust Asset Allocation for CPPI Strategies Katrin Schöttle and Ralf Werner -- 12.1 Motivation -- 12.2 The Financial Market -- 12.2.1 The Basic Financial Market -- 12.2.2 The Riskless Asset -- 12.2.3 The Risky Asset -- 12.2.4 Classical Mean-Variance Analysis -- 12.2.5 The Trading Strategy -- 12.3 The Standard CPPI Strategy -- 12.3.1 The Simple Case -- 12.3.2 The General Case -- 12.3.3 Shortfall Probability of CPPI Strategies -- 12.3.4 Improving CPPI Strategies -- 12.3.5 CPPI Strategies Under Estimation Risk -- 12.4 Robust Mean-Variance Optimization and Improved CPPI Strategies -- 12.4.1 Robust Mean-Variance Analysis.

12.4.2 Uncertainty Sets Via Expert Opinions or Related Estimators.
Abstract:
This book combines academic research and practical expertise on alternative assets and trading strategies in a unique way. The asset classes that are discussed include: credit risk, cross-asset derivatives, energy, private equity, freight agreements, real alternative assets (RAA), and socially responsible investments (SRI). The coverage on trading and investment strategies are directed at portfolio insurance, especially constant proportion portfolio insurance (CPPI) and constant proportion debt obligation (CPDO) strategies, robust portfolio optimization, and hedging strategies for exotic options.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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