Essays On Corporate Investment Dynamics
type: CreativeWork
description: This dissertation contains two paper. The first, "Volatility and Venture Capital,'" demonstrates that the performance of venture capital (VC) investments load positively on shocks to aggregate return volatility. I document this novel source of risk at the asset-class, fund, and portfolio-company levels. The positive relation between VC performance and volatility is driven by the option-like structure of VC investments, especially by VCs' contractual option to reinvest. At the asset-class level, shocks to aggregate volatility explain a substantial fraction of VC returns. At the fund level, consistent with the reinvestment channel, this exposure is concentrated in years two through four of fund life and in early-stage VC funds, which have more embedded reinvestment options. For VC-backed portfolio companies, volatility shocks correlate with faster and more frequent reinvestment. The level of volatility at the time of investment has no relation with future performance, consistent with competitive markets. Overall, my results imply that the option-like features of VC investments are first-order determinants of risk in VC. The second paper, "Intangible Capital and the Investment-$q$ Relation," shows that the neoclassical theory of investment, which has mainly been tested with physical investment, also helps explain intangible investment. At the firm level, Tobin's q explains physical and intangible investment roughly equally well, and it explains total investment even better. Compared with physical capital, intangible capital adjusts more slowly to changes in investment opportunities. The classic q theory performs better in firms and years with more intangible capital: Total and even physical investment are better explained by Tobin's q and are less sensitive to cash flow. At the macro level, Tobin's q explains intangible investment many times better than physical investment. We propose a simple, new Tobin's q proxy that accounts for intangible capital, and we show that …
abstract: This dissertation contains two paper. The first, "Volatility and Venture Capital,'" demonstrates that the performance of venture capital (VC) investments load positively on shocks to aggregate return volatility. I document this novel source of risk at the asset-class, fund, and portfolio-company levels. The positive relation between VC performance and volatility is driven by the option-like structure of VC investments, especially by VCs' contractual option to reinvest. At the asset-class level, shocks to aggregate volatility explain a substantial fraction of VC returns. At the fund level, consistent with the reinvestment channel, this exposure is concentrated in years two through four of fund life and in early-stage VC funds, which have more embedded reinvestment options. For VC-backed portfolio companies, volatility shocks correlate with faster and more frequent reinvestment. The level of volatility at the time of investment has no relation with future performance, consistent with competitive markets. Overall, my results imply that the option-like features of VC investments are first-order determinants of risk in VC. The second paper, "Intangible Capital and the Investment-$q$ Relation," shows that the neoclassical theory of investment, which has mainly been tested with physical investment, also helps explain intangible investment. At the firm level, Tobin's q explains physical and intangible investment roughly equally well, and it explains total investment even better. Compared with physical capital, intangible capital adjusts more slowly to changes in investment opportunities. The classic q theory performs better in firms and years with more intangible capital: Total and even physical investment are better explained by Tobin's q and are less sensitive to cash flow. At the macro level, Tobin's q explains intangible investment many times better than physical investment. We propose a simple, new Tobin's q proxy that accounts for intangible capital, and we show that …
author: Peters, Ryan Peters
language: en
date published: 2017
date modified: 2026-07-24T03:45:38Z
provider: University of Pennsylvania
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Pennsylvania