<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>D0 | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/jel_codes/d0/</link><atom:link href="https://macropaperwarehouse.com/jel_codes/d0/index.xml" rel="self" type="application/rss+xml"/><description>D0</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><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><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macropaperwarehouse.com/papers/identifying-preference-for-early-resolution-from-asset-prices/</guid><description>&lt;h2 id="layer-1-overview"&gt;Layer 1: Overview&lt;/h2&gt;
&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;
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&lt;p&gt;&lt;em&gt;Summary of a published paper, AI-assisted and human-reviewed. See the linked original for the authoritative claims and full conditions.&lt;/em&gt;&lt;/p&gt;
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&lt;h2 id="in-depth"&gt;In depth&lt;/h2&gt;
&lt;h3 id="q1-what-is-preference-for-early-resolution-per-and-why-is-it-hard-to-identify"&gt;Q1. What is preference for early resolution (PER) and why is it hard to identify?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;PER means that an agent with a given distribution over future outcomes strictly prefers to learn the outcome sooner rather than later, as formalized by Kreps and Porteus (1978); under Epstein-Zin recursive utility, PER is equivalent to risk aversion exceeding the reciprocal of the IES (or IES &amp;gt; 1/risk aversion).&lt;/strong&gt; In standard applied asset pricing models with constant-elasticity recursive utility, PER is intertwined with risk aversion and the IES, so that the separate role of the timing of resolution is obscured. Existing papers either test joint implications of the full calibrated model (conflating PER with other preference properties) or use thought-experiment willingness-to-pay calculations without market-data grounding. The authors&amp;rsquo; goal is to provide a necessary and sufficient condition for PER directly from asset prices, independent of a fully specified model.&lt;/p&gt;
&lt;h3 id="q2-what-is-the-role-of-generalized-risk-sensitivity-grs-in-the-identification-theorem"&gt;Q2. What is the role of Generalized Risk Sensitivity (GRS) in the identification theorem?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;GRS — the condition that the certainty-equivalent functional I is increasing in second-order stochastic dominance — provides the bridge between the unobservable ranking of utility levels across states and the observable ranking of marginal utilities (stochastic discount factors) across those states.&lt;/strong&gt; The authors prove that under GRS (Theorem 1), the vector of partial derivatives of I with respect to continuation utility is strictly negatively comonotone with the level of continuation utility: higher utility states have lower marginal utility. This inversion is what allows asset prices to reveal the ordering of utility levels. GRS itself is empirically supported by the well-documented fact that assets earn positive announcement premia around scheduled macroeconomic releases (Savor and Wilson, 2013).&lt;/p&gt;
&lt;h3 id="q3-how-does-the-main-theorem-theorem-2-identify-per-from-a-single-asset-class"&gt;Q3. How does the main theorem (Theorem 2) identify PER from a single asset class?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Theorem 2 establishes that, under strict GRS, the premium earned by any asset comonotone with the informativeness of upcoming macroeconomic announcements during the ROIQ period is strictly positive if and only if the agent has PER; a negative ROIQ premium would indicate preference for late resolution.&lt;/strong&gt; The intuition is that if the agent prefers early resolution, she assigns higher continuation utility to the early-resolution state (0E) than to the late-resolution state (0L); under strict GRS, higher continuation utility maps to lower marginal utility, meaning assets paying off more in the early-resolution state are negatively correlated with the SDF and therefore carry a positive risk premium. Claims to stock market return variance serve as the test asset because expected variance is high before informative announcements (early resolution) and low before uninformative ones (late resolution).&lt;/p&gt;
&lt;h3 id="q4-how-do-the-authors-operationalize-the-roiq-period-empirically"&gt;Q4. How do the authors operationalize the ROIQ period empirically?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;The ROIQ period is identified as the five weekdays before FOMC announcements, during which market attention to the Fed (measured by RavenPack Fed-related news intensity) is significantly positively correlated with the change in the inverse slope of the implied-volatility term structure (coefficient = 1.076, t = 4.09), while no such correlation exists in the ten days 6–10 before or after the announcement.&lt;/strong&gt; This correlation arises because, during those five days, investors regularly update their expectations about whether the upcoming FOMC statement will be informative; more expected informativeness raises the demand for short-dated options (driving up the 9-day VIX relative to the 90-day VIX) and simultaneously raises Fed-related news coverage. Outside the ROIQ window, the two series are uncorrelated (coefficient = −0.242, t = −1.13 unconditionally), confirming that the window is the correct testing period.&lt;/p&gt;
&lt;h3 id="q5-what-is-the-empirical-evidence-for-a-positive-roiq-premium-and-how-is-it-constructed"&gt;Q5. What is the empirical evidence for a positive ROIQ premium, and how is it constructed?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Synthetic variance claims constructed as option portfolios following Bakshi, Kapadia, and Madan (2003) earn a ROIQ premium (coefficient beta in the panel regression) of 1.085 percentage points per day (t = 2.44) above their average daily return; at-the-money straddles earn 0.428 pp/day (t = 2.25), both significantly positive.&lt;/strong&gt; The panel regression controls for maturity fixed effects (11 dummies for weeks to expiration), FOMC-day effects, and day-of-week effects. Crucially, the market itself earns approximately 8 basis points lower than average during the ROIQ period, and the market loading on variance claims does not increase during the ROIQ window (Table 5), ruling out an interpretation in which the premium simply reflects a higher market beta at announcement times.&lt;/p&gt;
&lt;h3 id="q6-how-does-the-paper-rule-out-alternative-explanations-for-the-roiq-premium"&gt;Q6. How does the paper rule out alternative explanations for the ROIQ premium?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;A placebo test using VIX futures — which pay the forward-looking VIX level (expected volatility over the next 30 days after expiry) rather than realized variance over the announcement — shows no significant ROIQ premium, confirming that the effect operates specifically through exposure to volatility during the announcement itself rather than through general volatility-level exposure.&lt;/strong&gt; The paper also shows that controlling for the Fama-French three factors does not appreciably change the ROIQ coefficient. An additional test using individual stock options (5 weekdays before earnings announcements) also yields positive ROIQ premiums, extending the result beyond FOMC to firm-level announcements.&lt;/p&gt;
&lt;h3 id="q7-what-does-the-finding-imply-for-macroeconomic-preference-modeling-and-policy"&gt;Q7. What does the finding imply for macroeconomic preference modeling and policy?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;The empirical finding that investors have a positive ROIQ premium — i.e., PER — without assuming any particular utility functional form confirms the central calibration assumption of Bansal-Yaron long-run risk models (risk aversion &amp;gt; 1/IES) and provides the market-based evidence that Epstein, Farhi, and Strzalecki (2014) stated was unavailable.&lt;/strong&gt; The paper&amp;rsquo;s approach is significant for macro modeling because it establishes PER from minimal assumptions (GRS and monotonicity of preferences), meaning that the result holds across expected utility deviations including robust control, smooth ambiguity, and disappointment aversion preferences — as long as they satisfy GRS — making it a broadly applicable empirical anchor for calibrating non-expected utility models.&lt;/p&gt;
&lt;h3 id="q8-what-are-the-identification-limitations-and-scope-conditions"&gt;Q8. What are the identification limitations and scope conditions?&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;The identification relies on three maintained conditions: (i) GRS holds for the representative agent, (ii) FOMC announcements genuinely resolve macro uncertainty (so that the ROIQ window is correctly specified), and (iii) the pre-announcement period does not contain price-relevant news (so that market return premia during the ROIQ are not confounded with the news content of the announcement itself).&lt;/strong&gt; The empirical support for condition (iii) comes from the fact that the market does not earn abnormal returns during the ROIQ (negative, not positive, as expected from the announcement drift literature), and from the lack of a ROIQ premium for VIX futures that expire after but not over the announcement. The framework abstracts from heterogeneous agents and assumes a representative-agent economy, which is standard but may not fully capture distributional effects.&lt;/p&gt;
&lt;h2 id="key-concepts"&gt;Key Concepts&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;preference for early resolution of uncertainty (PER)&lt;/strong&gt; : the property of a dynamic preference that the agent strictly prefers to learn the realization of a future uncertain outcome earlier rather than later, holding the distribution unchanged; equivalent in Epstein-Zin recursive utility to risk aversion exceeding the reciprocal of the IES.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;generalized risk sensitivity (GRS)&lt;/strong&gt; : the condition that the certainty-equivalent functional I is strictly increasing in second-order stochastic dominance; equivalent to the existence of strictly positive announcement premia for all assets comonotone with continuation utility; the paper&amp;rsquo;s key maintained assumption connecting utility levels to asset prices.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;resolution of information quality (ROIQ) period&lt;/strong&gt; : the period during which investors learn whether the upcoming macroeconomic announcement will be informative; empirically identified as the five weekdays before FOMC meetings, during which Fed-related news intensity co-moves with the inverse slope of the VIX term structure.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;ROIQ premium&lt;/strong&gt; : the excess return earned by a claim to market volatility (synthetic variance claim or straddle) during the ROIQ period over its average daily return on non-ROIQ days; the paper&amp;rsquo;s operational test for PER; estimated at 1.085 percentage points per day for variance claims.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;inverse slope of the implied-volatility term structure&lt;/strong&gt; : the ratio IV9/IV90 (9-day CBOE VIX divided by 90-day CBOE VIX); the paper&amp;rsquo;s market-based predictor of FOMC announcement informativeness; a higher ratio reflects investor anticipation of large announcement-day volatility relative to long-run baseline uncertainty.&lt;/p&gt;</description></item></channel></rss>