Investment, consumption, and hedging under incomplete markets

Investment, consumption, and hedging under in ...
Jianjun Miao, Jianjun Miao
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Last edited by MARC Bot
December 19, 2020 | History

Investment, consumption, and hedging under incomplete markets

"Entrepreneurs often face undiversifiable idiosyncratic risks from their business investments. We extend the standard real options approach to an incomplete markets environment and analyze the joint decisions of business investments, consumption/savings, and portfolio selection. For a lump-sum investment payoff and an agent with a sufficiently strong precautionary savings motive, an increase in volatility can accelerate investment, contrary to the standard real options analysis. When the agent can trade the market portfolio to partially hedge against investment risk, the systematic volatility is compensated via the standard CAPM argument, and the idiosyncratic volatility generates a private equity premium. Finally, when the investment payoff is a series of flows, the agent's idiosyncratic risk exposure alters both the implied option value and the implied project value, causing a reversal of the results in the lump-sum payoff case"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Edition Availability
Cover of: Investment, consumption, and hedging under incomplete markets
Investment, consumption, and hedging under incomplete markets
2007, National Bureau of Economic Research
electronic resource / in English

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Book Details


Edition Notes

Title from PDF file as viewed on 8/13/2007.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 13250, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13250.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

Edition Identifiers

Open Library
OL31800371M
LCCN
2007616391

Work Identifiers

Work ID
OL24104887W

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December 19, 2020 Created by MARC Bot import new book