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Book
Illiquid Assets and Optimal Portfolio Choice
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Year: 2006 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Book
Patents and R&D as Real Options
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Year: 2003 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Digital
Patents and R&D as real options
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Year: 2003 Publisher: Cambridge, Mass. NBER

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Book
Savings bonds: theory and empirical evidence
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Year: 1979 Publisher: New York

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Savings


Digital
Cash Flow Multipliers and Optimal Investment Decisions
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Year: 2010 Publisher: Cambridge, Mass National Bureau of Economic Research

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By postulating a simple stochastic process for the firm's cash flows in which the drift and the variance of the process depend on the investment policy of the firm, we develop a theoretical model, determine the optimal investment policy and, given this policy, calculate the ratio of the current value of the firm and the current cash flow which we call the "cash flow multiplier''. The main contribution of the paper, however, is empirical. Using a very extensive data set comprised of more than 13,000 fims over 44 years we examine the determinants of the cash flow multiplier using as explanatory variables macro and firm specific variables suggested by the theoretical model. We find strong support for the variables suggested by the model. Perhaps the most interesting aspect of the paper is the formulation of a parsimonious empirical asset pricing model, based on the fundamental discounted cash flow approach but using current macroeconomic variables and firm specific variables easily observable for its implementation. We obtain valuation equations that could potentially form part of a new valuation framework which does not require estimating future cash flows nor risk adjusted discount rates.


Digital
The Valuation of Fisheries Rights : A Real Options Approach
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Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This article develops and implements a Real Option approach to value renewable natural resources in the case of Marine Fisheries. The model includes two sources of uncertainty: the resource biomass and the price of fish, and it can be used by fisheries to optimally adapt their harvesting strategy to changing conditions in these stochastic variables. The model also features realistic operational cash flows and fisheries can shutdown and reopen operations. Using publicly available data on the British Columbia halibut fishery, the required parameters are estimated and the model solved. The results indicate that the conservation of the biomass is both optimal from a financial and a social perspective. The approach could be extended to other fish species and natural resources if the appropriate data were available.


Digital
Illiquid assets and optimal portfolio choice
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Year: 2006 Publisher: Cambridge, Mass. NBER

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Book
Pricing and investment strategies for guaranteed equity-linked life insurance
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ISBN: 0918930073 Year: 1979 Publisher: Philadelphia University of Pennsylvania

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Digital
An Empirical Analysis of the Swaption Cube
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Year: 2010 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We use a comprehensive database of inter-dealer quotes to conduct the first empirical analysis of the dynamics of the swaption cube. Using a model independent approach, we establish a set of stylized facts regarding the cross-sectional and time-series variation of conditional volatility and skewness of the swap rate distributions implied by the swaption cube. We then develop and estimate a dynamic term structure model that is consistent with these stylized facts, and use it to infer volatility and skewness of the risk-neutral and physical swap rate distributions. Finally, we investigate the fundamental drivers of these distributions. In particular, we find that volatility, volatility risk premia, skewness, and skewness risk premia are significantly related to the characteristics of agents' belief distributions for the macroeconomy, with GDP beliefs the most important factor in the USD market, and inflation beliefs the most important factor in the EUR market. This is consistent with differences in monetary policy objectives in the two markets.

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