<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yan Bai | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/yan-bai/</link><description>Yan Bai</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/yan-bai/index.xml" rel="self" type="application/rss+xml"/><item><title>Monetary Policy and Sovereign Risk in Emerging Economies (NK-Default)</title><link>https://macropaperwarehouse.com/papers/monetary-policy-and-sovereign-risk-in-emerging-economies-nk-default/</link><guid>https://macropaperwarehouse.com/papers/monetary-policy-and-sovereign-risk-in-emerging-economies-nk-default/</guid><description>&lt;p&gt;This paper develops a New Keynesian small open economy model with endogenous sovereign default — the NK-Default framework — and uses it to study the interplay between monetary policy and sovereign risk in emerging markets. The core finding is that sovereign default risk amplifies inflation volatility through an expectations channel: when default risk rises, forward-looking firms increase prices in expectation of high future inflation and depressed consumption during a potential default, so that current inflation rises even before any default occurs. Conversely, tight monetary policy disciplines government overborrowing by raising the cost of domestic monetary distortions, which the government internalizes by reducing its borrowing. Calibrated to eight emerging-market inflation targeters (Brazil, Chile, Colombia, Mexico, Peru, Philippines, Poland, South Africa) over 2004–2019, the model quantitatively matches the positive comovement of spreads with inflation and nominal rates, and the temporary nature of inflation events (approximately 4.5% inflation spike, 2.3% spread increase, resolved within roughly a year). Counterfactual experiments find that default risk accounts for approximately 50% of both inflation business-cycle volatility and the inflation increase during these events, and that a 1% tighter monetary policy would reduce spreads by about 0.3% during inflation events. An interest rate rule augmented to respond to default risk dominates strict inflation targeting in welfare and reduces mean spreads by 2.2 percentage points; strict inflation targeting is not the optimal monetary regime when sovereign risk is present.&lt;/p&gt;</description></item><item><title>Solving the Feldstein-Horioka Puzzle With Financial Frictions</title><link>https://macropaperwarehouse.com/papers/solving-the-feldstein-horioka-puzzle-with-financial-frictions/</link><guid>https://macropaperwarehouse.com/papers/solving-the-feldstein-horioka-puzzle-with-financial-frictions/</guid><description>&lt;p&gt;Long-run average savings and investment rates are strongly correlated across countries, which Feldstein and Horioka (1980) read as evidence of substantial frictions in international capital markets. This paper does two things with that reading. First, it verifies the conjecture on which it rests, showing in a calibrated stochastic general equilibrium model of a continuum of small open economies that frictionless complete markets do imply a cross-country savings-investment coefficient of essentially zero (−0.01) &amp;ndash; a point the authors say &amp;ldquo;is new to the literature,&amp;rdquo; since prior theoretical work had mostly addressed the time-series correlation, which arises with or without frictions. Second, it asks which financial frictions can produce the observed coefficient &lt;em&gt;and&lt;/em&gt; the observed volume of capital flows at the same time. Two are considered: limited enforcement, where contracts are backed only by the threat of permanent exclusion from financial markets plus an output loss, and limited spanning, where the only tradable asset is a noncontingent bond. Neither works alone. The frictionless benchmark generates an average absolute current-account-to-GDP ratio of 62 percent, roughly nine times the 7 percent in the data, and a foreign-asset position of 6.12 times GDP against 0.49. Limited enforcement with a full set of contingent assets barely restricts anything, because continued market access is so valuable under volatile productivity shocks that default is unattractive: the coefficient stays at −0.01 and capital flows at 56 percent, and even setting the output loss to zero and letting defaulters re-enter markets with certainty only lifts the coefficient to 0.23 while collapsing flows well below the data. Limited spanning with natural debt limits gives a coefficient of 0.05 and flows of 38 percent; tightening the limits exogenously to a fraction of resources does reproduce the data, as Castro (2005) had shown, but leaves the source of the limits unexplained. Combined, the two frictions generate endogenous noncontingent debt limits that are tight for two distinct reasons &amp;ndash; they must hold under the worst realization of next period&amp;rsquo;s shock, and the value of staying in markets is lower when only a bond can be traded, so default is more tempting &amp;ndash; permitting borrowing of only about 30 percent of output. The calibrated two-friction model then produces a Feldstein-Horioka coefficient of 0.52 with a standard error of 0.05 against 0.52 in the data, a capital flow ratio of 10 percent against 7 percent, a foreign-asset ratio of 0.40 against 0.49, a savings-investment correlation of 0.77 exactly as observed, cross-country dispersions of savings and investment rates of 0.06 and 0.04, and a degree of international risk sharing far closer to the data than the other models deliver. Two mechanisms are identified as essential. The tight limits force low-capital countries to save in order to invest and, through the interest rate, discourage high-capital countries from lending, generating the positive cross-country correlation. And because limited spanning makes repayment obligations noncontingent, enforcement constraints bind in bad states rather than good ones, which eliminates the enforcement model&amp;rsquo;s counterfactual implication that investment can rise when a country is hit by a bad shock. The authors are explicit about what the results depend on: the quantitative conclusions are sensitive to default penalties &amp;ndash; raising the output loss from zero to 2 percent moves the coefficient from 0.94 to 0.45 &amp;ndash; and they assume throughout that defaulters have their debt fully written off and are treated on re-entry like countries that never defaulted, which if relaxed would loosen borrowing limits and lower the coefficient.&lt;/p&gt;</description></item></channel></rss>