Academic literature on the topic 'CRRA utility function'

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Journal articles on the topic "CRRA utility function"

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Fleissig, Adrian R., A. Ronald Gallant, and John J. Seater. "SEPARABILITY, AGGREGATION, AND EULER EQUATION ESTIMATION." Macroeconomic Dynamics 4, no. 4 (2000): 547–72. http://dx.doi.org/10.1017/s1365100500017077.

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We derive a seminonparametric utility function containing the constant relative risk aversion (CRRA) function as a special case, and we estimate the associated Euler equations with U.S. consumption data. There is strong evidence that the CRRA function is misspecified. The correctly specified function includes lagged effects of durable goods and perhaps nondurable goods, is bounded as required by Arrow's Utility Boundedness Theorem, and has a positive rate of time preference. Constraining sample periods and separability structure to be consistent with the generalized axiom of revealed preference affects estimation results substantially. Using Divisia aggregates instead of the NIPA aggregates also affects results.
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Georgescu, Irina, and Jani Kinnunen. "Optimal Saving by Expected Utility Operators." Axioms 9, no. 1 (2020): 17. http://dx.doi.org/10.3390/axioms9010017.

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This paper studies an optimal saving model in which risk is represented by a fuzzy number and the total utility function of the model is defined by an expected utility operator. This model generalizes some existing possibilistic saving models and from them, by a particularization, one can obtain new saving models. In the paper, sufficient conditions are set for the presence of potential risk to increase optimal saving levels and an approximation formula for optimal saving is demonstrated. Particular models for a few concrete expected utility operators are analyzed for triangular fuzzy numbers and CRRA-utility functions.
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Gong, Mingming, and Shulin Liu. "A First-Price Sealed-Bid Asymmetric Auction When Two Bidders Have Respective CRRA and General Utility Functions." Discrete Dynamics in Nature and Society 2021 (September 3, 2021): 1–15. http://dx.doi.org/10.1155/2021/5592402.

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We study a first-price auction with two bidders where one bidder is characterized by a constant relative risk aversion utility function (i.e., a concave power function) while the other has a general concave utility function. We establish the existence and uniqueness of the optimal strategic markups and analyze the effects of one bidder’s risk aversion level on the optimal strategic markups of him and his opponent’s, the allocative efficiency of the auction, and the seller’s expected revenue, respectively.
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Deelstra, Griselda, Martino Grasselli, and Pierre-François Koehl. "Optimal investment strategies in a CIR framework." Journal of Applied Probability 37, no. 04 (2000): 936–46. http://dx.doi.org/10.1017/s0021900200018131.

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We study an optimal investment problem in a continuous-time framework where the interest rates follow Cox-Ingersoll-Ross dynamics. Closed form formulae for the optimal investment strategy are obtained by assuming the completeness of financial markets and the CRRA utility function. In particular, we study the behaviour of the solution when time approaches the terminal date.
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Deelstra, Griselda, Martino Grasselli, and Pierre-François Koehl. "Optimal investment strategies in a CIR framework." Journal of Applied Probability 37, no. 4 (2000): 936–46. http://dx.doi.org/10.1239/jap/1014843074.

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We study an optimal investment problem in a continuous-time framework where the interest rates follow Cox-Ingersoll-Ross dynamics. Closed form formulae for the optimal investment strategy are obtained by assuming the completeness of financial markets and the CRRA utility function. In particular, we study the behaviour of the solution when time approaches the terminal date.
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Akdeniz, Levent, and W. Davis Dechert. "THE EQUITY PREMIUM IN CONSUMPTION AND PRODUCTION MODELS." Macroeconomic Dynamics 16, S1 (2012): 139–48. http://dx.doi.org/10.1017/s1365100511000708.

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In this paper we use a simple model with a single Cobb–Douglas firm and a consumer with a CRRA utility function to show the difference between the equity premia in the production-based Brock model and the consumption-based Lucas model. With this simple example we show that the equity premium in the production-based model exceeds that of the consumption-based model with probability 1.
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KINGSTON, GEOFFREY, and SUSAN THORP. "Annuitization and asset allocation with HARA utility." Journal of Pension Economics and Finance 4, no. 3 (2005): 225–48. http://dx.doi.org/10.1017/s1474747205002088.

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A new explanation for the well-known reluctance of retirees to buy life annuities is due to Milevsky and Young (2002, 2003): Since the decision to purchase longevity insurance is largely irreversible, in uncertain environments a real option to delay annuitization (RODA) generally has value. Milevsky and Young analytically identify and numerically estimate the RODA in a setting of constant relative risk aversion. This paper presents an extension to the case of HARA (or GLUM) preferences, the simplest representation of a consumption habit. The precise date of annuitization can no longer be ascertained with certainty in advance. This paper derives an approximation whereby the agent precommits. The effect of increasing the subsistence consumption rate on the timing of annuity purchase is similar to the effect of increasing the curvature parameter of the utility function. As in the CRRA case studied by Milevsky and Young, delayed annuitization is associated with optimistic predictions of the Sharpe ratio and divergence between annuity purchaser and provider predictions of mortality.
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Wen, Yuzhen, and Chuancun Yin. "Optimal Expected Utility of Dividend Payments with Proportional Reinsurance under VaR Constraints and Stochastic Interest Rate." Journal of Function Spaces 2020 (August 11, 2020): 1–13. http://dx.doi.org/10.1155/2020/4051969.

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In this paper, we consider the problem of maximizing the expected discounted utility of dividend payments for an insurance company taking into account the time value of ruin. We assume the preference of the insurer is of the CRRA form. The discounting factor is modeled as a geometric Brownian motion. We introduce the VaR control levels for the insurer to control its loss in reinsurance strategies. By solving the corresponding Hamilton-Jacobi-Bellman equation, we obtain the value function and the corresponding optimal strategy. Finally, we provide some numerical examples to illustrate the results and analyze the VaR control levels on the optimal strategy.
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Fernandes, Ana. "A CLOSED-FORM SOLUTION TO A MODEL OF TWO-SIDED, PARTIAL ALTRUISM." Macroeconomic Dynamics 16, no. 2 (2012): 230–39. http://dx.doi.org/10.1017/s1365100510000064.

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This paper presents a closed-form characterization of the allocation of resources in an overlapping generations model of two-sided, partial altruism. Three assumptions are made: (i) parents and children play Markov strategies, (ii) utility takes the CRRA form, and (iii) the income of children is stochastic but proportional to the saving of parents. In families where children are rich relative to their parents, saving rates—measured as a function of the family's total resources—are higher than when children are poor relative to their parents. Income redistribution from the old to the young, therefore, leads to an increase in aggregate saving.
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Shiraishi, Hiroshi. "A Simulation Approach to Statistical Estimation of Multiperiod Optimal Portfolios." Advances in Decision Sciences 2012 (June 5, 2012): 1–13. http://dx.doi.org/10.1155/2012/341476.

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This paper discusses a simulation-based method for solving discrete-time multiperiod portfolio choice problems under AR(1) process. The method is applicable even if the distributions of return processes are unknown. We first generate simulation sample paths of the random returns by using AR bootstrap. Then, for each sample path and each investment time, we obtain an optimal portfolio estimator, which optimizes a constant relative risk aversion (CRRA) utility function. When an investor considers an optimal investment strategy with portfolio rebalancing, it is convenient to introduce a value function. The most important difference between single-period portfolio choice problems and multiperiod ones is that the value function is time dependent. Our method takes care of the time dependency by using bootstrapped sample paths. Numerical studies are provided to examine the validity of our method. The result shows the necessity to take care of the time dependency of the value function.
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Dissertations / Theses on the topic "CRRA utility function"

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Guleroglu, Cigdem. "Portfolio Insurance Strategies." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614809/index.pdf.

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The selection of investment strategies and managing investment funds via employing portfolio insurance methods play an important role in asset liability management. Insurance strategies are designed to limit downside risk of portfolio while allowing some participation in potential gain of upside markets. In this thesis, we provide an extensive overview and investigation, particularly on the two most prominent portfolio insurance strategies: the Constant Proportion Portfolio Insurance (CPPI) and the Option-Based Portfolio Insurance (OBPI). The aim of the thesis is to examine, analyze and compare the portfolio insurance strategies in terms of their performances at maturity, via some of their statistical and dynamical properties, and of their optimality over the maximization of expected utility criterion. This thesis presents the financial market model in continuous-time containing no arbitrage opportunies, the CPPI and OBPI strategies with definitions and properties, and the analysis of these strategies in terms of comparing their performances at maturity, of their statistical properties and of their dynamical behaviour and sensitivities to the key parameters during the investment period as well as at the terminal date, with both formulations and simulations. Therefore, we investigate and compare optimal portfolio strategies which maximize the expected utility criterion. As a contribution on the optimality results existing in the literature, an extended study is provided by proving the existence and uniqueness of the appropriate number of shares invested in the unconstrained allocation in a wider interval.
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D´Ambra, Raffaele. "Portfolio investment strategy with options using power utility function : an out of sample exercise." Master's thesis, 2019. http://hdl.handle.net/10400.14/29148.

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This dissertation investigates the possibility to find a portfolio investment strategy that could fit the peculiarities of the options. Because of the distribution of the returns of the options, the high transaction cost, and the short time-period sample available the most common investment strategies are not well suited. With an out of the sample exercise, in this dissertation has been proved that implementing an asset allocation strategy, exploiting a power utility function, could be a solution to overcome those problems related to investing with options. In this out of the sample exercise are considered European options with one-month maturity, and the portfolio strategy obtained a positive Sharpe ratio of 1.03 and positive skewness. The results are mainly explained by the exploitation of options mispricing, but also with exposure to leverage, captured by Beta, and market, as shown by the descriptive regressions, and exposure to volatility captured by Vega.<br>Esta dissertação visa explorar a possibilidade de encontrar uma estratégia de investimento que possa ser adequada às diversas peculiaridades das opções. Devido à distribuição dos seus retornos, os elevados custos de transação e à curta amostra de tempo disponível, as estratégias de investimento mais comuns não se adequam. Assim, através de um exercício out-of-sample, foi provado que a implementação de uma estratégia de alocação de ativos, com a exploração uma função de utilidade, poderá ser uma solução para superar os problemas previamente mencionados. Nesta amostra foram utilizadas opções européias, com vencimento de um mês, onde a estratégia obteve um Sharpe Ratio positivo de 1,03 e enviesamento positivo. Estes resultados são explicados principalmente pela exploração de falhas nos preços das opções, mas também pela exposição à alavancagem, capturada por Beta, e pelo mercado, como mostrado pelas regressões descritivas, e pela exposição à volatilidade, capturada por Vega.
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Gonçalves, Maria José dos Santos. "Levantamentos programados na velhice : maximização da utilidade com retornos estocásticos." Master's thesis, 2019. http://hdl.handle.net/10362/60409.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management<br>O objetivo desta tese é identificar a estratégia de levantamentos programados ótima para cada um de vários perfis-tipo de consumidor. Para o efeito, maximiza-se uma função de utilidade do tipo CRRA, desenhada para o segmento da população na velhice, na qual são incorporados retornos de investimento estocásticos e probabilidades de sobrevivência resultantes de um modelo de mortalidade prospetivo. Para melhor se poderem comparar as estratégias de levantamentos programados aqui analisadas, considera-se um prazo fixo, igual à esperança média de vida, não se admitindo a possibilidade de o mesmo poder variar com a longevidade observada e com melhorias na esperança média de vida estimada. É também desconsiderada a existência de rendimentos exógenos. Os resultados mostram que as estratégias que asseguram a sustentabilidade do capital, que incorporam no consumo os retornos dos investimentos e que permitem flexibilidade na escolha de consumos diferenciados para cada período, têm maior potencial de consumo e resultam numa maior utilidade para o cliente. As estratégias de levantamentos programados que obtiveram melhores resultados nesta tese permitem oferecer um produto simples e intuitivo ao cliente, e adaptado às suas necessidades. Em particular, as duas variantes da estratégia de levantamento de uma percentagem sobre o saldo remanescente, introduzidas originalmente nesta tese, permitiram obter melhores resultados para o cliente do que as restantes estratégias analisadas neste estudo.<br>The main goal of this thesis is to identify the optimal programmed withdrawal strategy for each consumer profile. For this purpose, we maximize a CRRA utility function, designed for the elder segment of the population, incorporating stochastic investment returns and survival probabilities resulting from a prospective mortality model. For better comparison of the programmed withdrawal strategies analyzed here, we consider a fixed term, equal to the life expectancy, not admitting the possibility of revising it according with observed longevity and with improvements in life expectancy. The existence of exogenous sources of income was also disregarded. The results show that the strategies that assure the sustainability of the capital, that incorporate the investment returns in the withdrawal amount and that allow flexibility in choosing a differentiated amount for each period, have more potential for higher consumption and result in a higher utility for the client. The programmed withdrawal strategies that obtained the best results in this thesis allow a simple and intuitive product for the client, adjusted to her needs. In particular, the two variants of the strategy that consists of consuming a percentage of the remaining capital, introduced originally in this thesis, allowed for better results for the client, when compared to the remaining strategies tested here.
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Books on the topic "CRRA utility function"

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Back, Kerry E. Continuous-Time Portfolio Choice and Pricing. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0014.

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The Euler equation is defined. The static approach can be used to derive an optimal portfolio in a complete market and when the investment opportunity set is constant. In the latter case, the optimal portfolio is proportional to the growth‐optimal portfolio and two‐fund separation holds. Dynamic programming and the Hamilton‐Jacobi‐Bellman equation are explained. An optimal portfolio consists of myopic and hedging demands. The envelope condition is explained. CRRA utility implies a CRRA value function. The CCAPM and ICAPM are derived.
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Back, Kerry E. Dynamic Portfolio Choice. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0009.

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The first‐order condition for optimal portfolio choice is called the Euler equation. Optimal consumption can be computed by a static approach in a dynamic complete market and by orthogonal projection for a quadratic utility investor. Dynamic programming and the Bellman equation are explained. The envelope condition and hedging demands are explained. Investors with CRRA utility have CRRA value functions. Whether the marginal value of wealth is higher for a CRRA investor in good states or in bad states depends on whether risk aversion is less than or greater than 1. With IID returns, the optimal portfolio for a CRRA investor is the same as the optimal portfolio in a single‐period model.
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Book chapters on the topic "CRRA utility function"

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Shefrin, Hersh. "CRRA and CARA Utility Functions." In A Behavioral Approach to Asset Pricing. Elsevier, 2008. http://dx.doi.org/10.1016/b978-012374356-5.50015-2.

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Conference papers on the topic "CRRA utility function"

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Fan, Piao Zhe, and Sun Jia Ke. "The Optimal Enterprise R&D Investment Strategy Based on CRRA Utility function." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.258.

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