Portfolio Insurance An Analysis Of Dynamic Portfolio Insurance Strategies Without Derivatives
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| Author | : Sandra Bacher |
| Publisher | : |
| Total Pages | : 88 |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
Sowohl die Constant Proportion Portfolio Insurance (CPPI) als auch die Time Invariant Portfolio Protection (TIPP) sind die bekanntesten Beispiele für Portfolio Absicherungsstrategien ohne derivative Instrumente. Da beide Strategien bei Privatinvestoren breite Verwendung finden, ist es von besonderem Interesse durch Studien festzustellen, welche der beiden Strategien die erfolgversprechendere Variante darstellt. Dem kommt besonders in Zeiten fallender Aktienkurse, wie zum Beispiel während der Finanzkrise, erhöhte Bedeutung zu, da gerade zu solchen Zeiten Privatinvestoren eine Absicherung ihrer Postfolios anstreben. Um die Möglichkeiten der CPPI und der TIPP Strategien beurteilen zu können, werden sowohl empirische Untersuchungen durchgeführt als auch auf vorhandene Literatur zurückgegriffen. Der Erfolg der Strategien kann anhand der Ermittlung der Downside Risiken und anhand von Performance Kennzahlen beurteilt werden. Somit ist es auch möglich die Forschungsfrage zu beantworten. Die Ergebnisse zeigen, dass für Privatinvestoren die TIPP Strategie zu bevorzugen ist. Die TIPP Strategie entspricht dem Risikoprofil eines Privatinvestors besser und bietet darüber hinaus eine höhere Qualität der Absicherung.*****The constant proportion portfolio insurance (CPPI) as well as the time invariant portfolio protection (TIPP) are the most prominent examples of portfolio insurance strategies without derivatives. Since both strategies are widely used among private investors it is of particular interest to examine which of the two portfolio insurance strategies is the most promising strategy. This applies especially to periods characterized by falling equity markets like during the financial crisis when private investors specifically seek for protection of their portfolios. In order to investigate the potential of the CPPI and the TIPP strategy an empirical analysis as well as secondary research is used. By calculating downside risk and performance measures the success of the strategies can be examined and the research question can be answered. Results show that the TIPP strategy is favorable for private investors. Moreover the TIPP strategy better fits the risk profile of a private investor and offers higher quality of protection.
| Author | : Benjamin Hamidi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Controlling and managing potential losses is one of the main objective of the Risk Management. Following Ben Ameur and Prigent (2007) and Chen et al. (2008), and extending the first results by Hamidi et al. (2009) when adopting a risk management approach for defining insurance portfolio strategies, we analyze and illustrate a specific dynamic portfolio insurance strategy depending on the Value-at-Risk level of the covered portfolio on the French stock market. This dynamic approach is derived from the traditional and popular portfolio insurance strategy (Cf. Black and Jones, 1987; Black and Perold, 1992): the so-called "Constant Proportion Portfolio Insurance" (CPPI). However, financial results produced by this strategy crucially depend upon the leverage - called the multiple- likely guaranteeing a predetermined floor value whatever the plausible market evolutions. In other words, the unconditional multiple is defined once and for all in the traditional setting. The aim of this article is to further examine an alternative to the standard CPPI method, based on the determination of a conditional multiple. In this time-varying framework, the multiple is conditionally determined in order for the risk exposure to remain constant, even if it also depends upon market conditions. Furthermore, we propose to define the multiple as a function of an extended Dynamic AutoRegressive Quantile model of the Value-at-Risk (DARQ-VaR). Using a French daily stock database (CAC40 and individual stocks in the period 1998-2008), we present the main performance and risk results of the proposed Dynamic Proportion Portfolio Insurance strategy, first on real market data and secondly on artificial bootstrapped and surrogate data. Our main conclusion strengthens the previous ones: the conditional Dynamic Strategy with Constant-risk exposure dominates most of the time the traditional Constant-asset exposure unconditional strategies.
| Author | : Cheng-Few Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 861 |
| Release | : 2006-07-27 |
| Genre | : Business & Economics |
| ISBN | : 0387262849 |
This is a major new reference work covering all aspects of finance. Coverage includes finance (financial management, security analysis, portfolio management, financial markets and instruments, insurance, real estate, options and futures, international finance) and statistical applications in finance (applications in portfolio analysis, option pricing models and financial research). The project is designed to attract both an academic and professional market. It also has an international approach to ensure its maximum appeal. The Editors' wish is that the readers will find the encyclopedia to be an invaluable resource.
| Author | : Harry M. Kat |
| Publisher | : |
| Total Pages | : |
| Release | : 2002 |
| Genre | : |
| ISBN | : |
In this article we use stochastic simulation methods to study the performance of a number of different dynamic portfolio insurance strategies, including option replicating portfolio insurance (ORPI), constant proportion portfolio insurance (CPPI) and a modified stop-loss (MSLI) strategy. We assume the underlying portfolio to be the Samp;P 500 tracking portfolio with all dividends reinvested upon receipt. The initial time to maturity is one year. Although the differences are mostly small, our results show that ORPI typically offers more attractive results than CPPI or MSLI. Adjusting the floor rule to lock in intermediate profits or adding a constant horizon feature does not lead to superior results.
| Author | : Rüdiger Kiesel |
| Publisher | : World Scientific |
| Total Pages | : 414 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 9814280119 |
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, alternative real assets (ARA), 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.
| Author | : Hubert Dichtl |
| Publisher | : |
| Total Pages | : 53 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
This study presents a systematic comparison of portfolio insurance strategies. In order to test for statistical significance of the differences in downside performance risk measures between pairs of portfolio insurance strategies, we use a bootstrap-based hypothesis test. Our comparison of different strategies considers the following distinguishing characteristics: static versus dynamic; initial wealth versus cumulated wealth protection; model-based versus model-free; and strong floor compliance versus probabilistic floor compliance. Our results show that the classical portfolio insurance strategies synthetic put and CPPI provide superior downside protection compared to a simple stop-loss trading rule, also resulting in significantly higher Omega ratios. Analyzing more recently developed strategies, neither the TIPP strategy (as an 'improved' CPPI strategy) nor the dynamic VaR-strategy provide significant improvements over the more traditional portfolio insurance strategies. The attractiveness of the dynamic VaR-strategy strongly depends on the quality of the estimates for the required input parameters, in particular, the equity risk premium. However, if an investor possesses superior forecasting skills, other active (market timing) strategies may exist which generate higher (risk-adjusted) returns compared to a protected passive stock market investment.
| Author | : Martin Kolrep |
| Publisher | : |
| Total Pages | : 8 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
To limit the maximum loss of a portfolio, investment strategies can be enhanced by adding a portfolio insurance component. We have analyzed various portfolio insurance strategies - from the static stop-loss concept to option-based strategies and dynamic portfolio insurance strategies. The findings suggest that an active approach on the basis of dynamic risk forecasts is an effective alternative.
| Author | : Jot Kai Hong Yau |
| Publisher | : |
| Total Pages | : 390 |
| Release | : 1988 |
| Genre | : Portfolio management |
| ISBN | : |
| Author | : Lalatendu Misra |
| Publisher | : |
| Total Pages | : 35 |
| Release | : 1987 |
| Genre | : Insurance |
| ISBN | : |
| Author | : Ralf Hohmann |
| Publisher | : GRIN Verlag |
| Total Pages | : 23 |
| Release | : 2021-05-18 |
| Genre | : Business & Economics |
| ISBN | : 334640868X |
Scientific Essay from the year 2021 in the subject Business economics - Investment and Finance, , language: English, abstract: Investments in money and capital markets involve different loss potentials that market participants should be able to manage. Below follows an overview and comparison of selected strategies to manage these risks. Portfolio insurance (PI) strategies were developed in the 1980s. They are used to hedge portfolios or individual investments against price losses. The volume of assets hedged with these strategies is significant. Different forms of individual strategies have developed over the years. Risk quantification and Value at Risk (VAR) strategies emerged around the same time. Risks of individual investments or portfolios were measured and different strategies were developed to take them into account in Value at Risk optimised portfolios (VaRoP). VaRoP is a strategy that calculates an optimal portfolio taking into account a given or permissible maximum VAR. Both strategies are intended to protect portfolios from losses in value. Their similarities and differences as well as their successes are presented and summarised in this paper. Their applicability in practice is also examined.
