<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hongye Guo | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/hongye-guo/</link><description>Hongye Guo</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/hongye-guo/index.xml" rel="self" type="application/rss+xml"/><item><title>Identifying Preference for Early Resolution from Asset Prices</title><link>https://macropaperwarehouse.com/papers/identifying-preference-for-early-resolution-from-asset-prices/</link><guid>https://macropaperwarehouse.com/papers/identifying-preference-for-early-resolution-from-asset-prices/</guid><description>&lt;p&gt;This paper develops a revealed-preference theory that uses asset-market data to identify whether investors have a preference for early resolution of uncertainty (PER), a property of non-expected utility preferences that is distinct from risk aversion. The central theorem shows that, under a condition called generalized risk sensitivity (GRS), the representative agent prefers early resolution if and only if claims to future stock market volatility earn a positive premium during the period in which the informativeness of upcoming macroeconomic announcements is resolved — a window the authors call the Resolution of Information Quality (ROIQ) period. Using S&amp;amp;P 500 index option data from 1996 to 2019, the paper identifies the ROIQ period as the five weekdays before FOMC announcements, demonstrates that the inverse slope of the implied-volatility term structure (9-day/90-day VIX ratio) significantly predicts the informativeness of upcoming announcements, and finds a statistically significant positive ROIQ premium on synthetic variance claims (beta = 1.085, t = 2.44) and on at-the-money straddles (beta = 0.428, t = 2.25). The evidence supports Epstein-Zin recursive utility with the intertemporal elasticity of substitution exceeding the reciprocal of risk aversion, and hence is consistent with the Bansal-Yaron long-run risk framework. Crucially, this identification requires no parametric calibration of the full asset pricing model.&lt;/p&gt;</description></item></channel></rss>