Firm volatility in granular networks
WebMar 27, 2013 · The results show that large size firm volatility was significantly correlated with aggregate market volatility i.e. up to (75%) in comparison with small size firms. WebFirm Volatility in Granular Networks. Firm volatilities co-move strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the …
Firm volatility in granular networks
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WebWe propose a network model of firm volatility in which the customers' growth rate shocks influence the growth rates of their suppliers, larger suppliers have more customers, and … WebWe propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers, and customer-supplier links depend on customers' size. The model produces distributions of firm volatility, size, and customer concentration consistent with the data. View research
WebJul 14, 2024 · Firm Volatility in Granular Networks Bernard Herskovic, B. Kelly, Hanno Lustig, Stijn Van Nieuwerburgh Business Journal of Political Economy 2024 Firm volatilities comove strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. WebFrom micro data on sales networks for public US firms, we validate the importance of firm sizes in determining customer-supplier networks, and we show that the sales network structure is a critical determinant of firm-level volatility. …
WebSep 1, 2016 · Firm Volatility in Granular Networks Bernard Herskovic, B. Kelly, Hanno Lustig, Stijn Van Nieuwerburgh Business Journal of Political Economy 2024 Firm volatilities comove strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the cross section, smaller firms and firms with a more… 111 PDF WebOct 25, 2024 · “Firm Volatility in Granular Networks” (with B. Herskovic, H. Lustig and S. Van Nieuwerburgh). Journal of Political Economy, 2024 “Measuring Technological Change Over the Long Run”. (with D. Papanikolaou, A. Seru and M. Taddy). American Economic Review, Insights, 2024. “Understanding Momentum and Reversals” (with S. Pruitt and T. …
WebJan 15, 2016 · Firm Volatility in Granular Networks Bernard Herskovic, B. Kelly, Hanno Lustig, Stijn Van Nieuwerburgh Business 2013 Firm volatilities comove strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the cross section, smaller firms and firms with a more… 111 PDF
WebNov 1, 2024 · We propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers, … buf to floridaWebWe propose a network model of firm volatility in which the customers ’ growth rate shocks influence the growth rates of their suppliers, larger suppliers have more customers, and the strength of a customer-supplier link depends on the size of the customer firm. buf to fort myersWebWe propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers, and … buf to ft myersWebOct 5, 2024 · We propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers, and customer-supplier links depend on customers’ size. The model produces … ABOUT THE JOURNAL Frequency: 12 issues/year ISSN: 0022-3808 E-ISSN: … Shipping and taxes may apply to your order and are determined by the shipping … buf to hhhWebsupplier network. Firms’ idiosyncratic growth rate shocks, which are homoscedastic, are transmitted in part to their trading partners. Di erences in rms’ network connections, and … buf to hartford ctWebJun 3, 2024 · Gabaix (2011) posits that large market players are ‘granular’, i.e. shocks to these agents are not easily diversified when aggregating across units and are reflected in aggregate market outcomes. In particular, aggregate fluctuations can result from firm-level shocks if the distribution of firms is fat-tailed.2 crop top for infantWebWe propose a network model of firm volatility in which the customers ’ growth rate shocks influence the growth rates of their suppliers, larger suppliers have more cus-tomers, and the strength of a customer-supplier link depends on the size of the cus-tomer firm. buf to hilo