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Featured researches published by Zhaogang Song.


Archive | 2015

Rare Disaster Concerns Everywhere

George Gao; Zhaogang Song

We propose an empirical framework of disaster concerns to explain cross-sectional return variation both within and across asset classes. Using a large set of out-of-the-money options on international equity indices, foreign currencies, and global government bonds, we measure the global …nancial market’s rare disaster concerns under only no-arbitrage conditions. Assets that have low return covariations with such concerns earn high excess returns in the future. The return predictability driven by rare disaster concerns is distinct from that driven by exposures to realized disaster shocks such as macroeconomic downturns and liquidity crunches, and is not


Social Science Research Network | 2016

Term Structure of Interest Rates with Short-Run and Long-Run Risks

Olesya V. Grishchenko; Zhaogang Song; Hao Zhou

Bond returns are time-varying and predictable. What economic forces drive this variation? To answer this long-standing question, we propose a consumption-based model with recursive preferences, long-run risks, and inflation non-neutrality. Our model offers two important insights. First, our model matches well the post-1990 nominal upward-sloping U.S. Treasury yield curve. Second, consistent with our models implication, variance risk premium based on the U.S. interest rate derivatives data emerges as a strong predictor for short-horizon Treasury excess returns, above and beyond the predictive power of other popular factors. In the model equilibrium, the variance risk premium is related to the short-run risks in the economy, while standard forward-rate-based factors are associated with long-run risks in the economy.


Social Science Research Network | 2015

An Empirical Test of Auction Efficiency: Evidence from MBS Auctions of the Federal Reserve

Pietro Bonaldi; Ali Hortacsu; Zhaogang Song

Auction theory has ambiguous implications regarding the relative efficiency of three formats of multiunit auctions: uniform-price, discriminatory-price, and Vickrey auctions. We empirically evaluate the performance of these three auction formats using the bid-level data of the Federal Reserves purchase auctions of agency mortgage-backed securities (MBS) from June 1, 2014 through November 17, 2014. We estimate marginal cost curves for all dealers, at each auction, based on structural models of the multiunit discriminatory-price auction. Our preliminary results suggest that neither uniform-price nor Vickrey auctions outperform discriminatory-price auctions in terms of the total expenditure. However, they do outperform in terms of efficiency, with efficiency gains around 0.74% of the surplus that dealers extract. We caution that our empirical estimation and analysis involve technical assumptions made about the specific auction mechanism the Federal Reserve uses and how auction participants perceive the auction mechanism, both of which may be distinct from practice and may alter the conclusions substantively.


Journal of Financial Economics | 2017

The value of trading relations in turbulent times

Marco Di Maggio; Amir Kermani; Zhaogang Song


Journal of Econometrics | 2011

A martingale approach for testing diffusion models based on infinitesimal operator

Zhaogang Song


Review of Financial Studies | 2018

Do Hedge Funds Exploit Rare Disaster Concerns

George Gao; Pengjie Gao; Zhaogang Song


Journal of Finance | 2016

Liquidity in a Market for Unique Assets: Specified Pool and TBA Trading in the Mortgage Backed Securities Market

Pengjie Gao; Paul H. Schultz; Zhaogang Song


Social Science Research Network | 2017

QE Auctions of Treasury Bonds

Zhaogang Song; Haoxiang Zhu


Journal of Econometrics | 2013

Testing whether the underlying continuous-time process follows a diffusion: An infinitesimal operator-based approach

Bin Chen; Zhaogang Song


Archive | 2015

Affine Jump Term Structure Models: Expectation Puzzles and Conditional Volatility

Haitao Li; Zhaogang Song

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Haoxiang Zhu

Massachusetts Institute of Technology

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Pengjie Gao

Mendoza College of Business

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Ali Hortacsu

National Bureau of Economic Research

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Amir Kermani

National Bureau of Economic Research

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Marco Di Maggio

National Bureau of Economic Research

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Xiaomeng Lu

Shanghai Jiao Tong University

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Bin Chen

University of Rochester

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