37,506 research outputs found

    Nonlinear Taxation of Risky Assets and Investment, With Application to Mining

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    An intertemporal capital asset valuation approach is applied to analyzing the effects of nonlinear taxes on asset values and optimal investment decisions. The method is quite general, and is illustrated both analytically and numerically, The paper studies the effects of nonlinearities in the corporate income tax, including the percentage depletion allowance, on mine values and investment decisions. Although the tax policies are found to have the expected effects on asset values, the effects on investment decisions are sometimes perverse. An increase in the income tax rate may encourage investment; an increase in the depletion allowance subsidy may discourage investment.

    Firm and Corporate Bond Valuation: A Simulation Dynamic Programming Approach

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    This paper analyzes corporate bond valuation of a straight bond, and the convertibility feature, when interest rates are stochastic and the firm value is determined by the interaction of a series of stochastic variables. The sensitivity of the corporate dValuation, options, bond, equity

    Uncertainty Aversion, Robust Control and Asset Holdings

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    Optimal portfolio rules are derived under uncertainty aversion by formulating the portfolio choice problem as a robust control problem. The robust portfolio rule indicates that the total holdings of risky assets as a proportion of the investor’s wealth could increase as compared to the holdings under the Merton rule, which is the standard risk aversion case. With two risky assets an increase in the holdings of the one risky asset is accompanied by a reduction in the holdings of the other asset. Furthermore, in the optimal robust portfolio the investor may increase the holdings of the asset for which there is or less ambiguity, and reduce the holding of the asset for which there is more ambiguity, a result that might provide an explanation of the home bias puzzle.Uncertainty aversion, Model misspecification, Robust control, Portfolio choice models

    Liability-driven investment in longevity risk management

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    This paper studies optimal investment from the point of view of an investor with longevity-linked liabilities. The relevant optimization problems rarely are analytically tractable, but we are able to show numerically that liability driven investment can significantly outperform common strategies that do not take the liabilities into account. In problems without liabilities the advantage disappears, which suggests that the superiority of the proposed strategies is indeed based on connections between liabilities and asset returns

    The Suitability Rule and Economic Theory

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    The published rules of both the National Association of Securities Dealers (NASD) and the Securities and Exchange Commission (SEC) provide that a broker or dealer in the securities market may recommend the purchase of a security only when there is a reasonable basis for believing that the security is suitable for the customer

    Cross-border Intra-group Hybrid Finance and International Taxation

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    In intra-group finance hybrid instruments allow for tailor-made form of finance. Hence hybrid finance is often used for international tax planning in multinational groups. Due to a lack of international tax harmonization or tax coordination qualification conflict can arise. A specific hybrid instrument is classified as debt in one country, and as equity in the other country. This may lead to double taxation. In the reverse case, double non-taxation can arise. Against this legal background one might expect that cross-border hybrid intra-group finance is advantageous in comparison to classical debt finance in case of double-non-taxation while it can be expected to be disadvantageous in the case of double taxation of the yield. Previous studies do not include qualification conflicts. Thus the question arises how qualification conflicts are affecting an intra-group finance decision. We examine effects of such qualification conflicts, resulting from the use of cross-border, intra-group hybrid finance, on the tax-advantageousness as compared to classical debt finance. The analysis is based on a binomial simulation model including economic and legal uncertainty. We show that the results of our analysis under uncertainty vary significantly when compared to the more obvious results under economic and legal certainty. (authorÂŽs abstract)Series: Discussion Papers SFB International Tax Coordinatio

    Risk preference discrepancy : a prospect relativity account of the discrepancy between risk preferences in laboratory gambles and real world investments

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    In this article, we presented evidence that people are more risk averse when investing in financial products in the real world than when they make risky choices between gambles in laboratory experiments. In order to provide an account for this discrepancy, we conducted experiments, which showed that the range of offered investment funds that vary in their riskreward characteristics had a significant effect on the distribution of hypothetical funds to those products. We also showed that people are able to use the context provided by the choice set in order the make relative riskiness judgments for investment products. This context dependent relativistic nature of risk preferences is proposed as a plausible explanation of the risk preference discrepancy between laboratory experiments and real-world investments. We also discuss other possible theoretical interpretations of the discrepancy

    Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates

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    In this paper we study the optimal management of an aggregated pension fund of defined benefit type, in the presence of a stochastic interest rate. We suppose that the sponsor can invest in a savings account, in a risky stock and in a bond, with the aim of minimizing deviations of the unfunded actuarial liability from zero along a finite time horizon. We solve the problem by means of optimal stochastic control techniques and analyze the influence on the optimal solution of some of the parameters involved in the model
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