A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
- Topic classification is ongoing.
- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 325 resources
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We show that over the past half‐century, innovative disruptions were central to understanding corporate defaults. In a given year, industries experiencing abnormally high venture capital or initial public offering activity subsequently see higher default rates, higher segment exits by conglomerates, and higher yields on bonds issued by the firms in these industries. Overall, we find that disruption is a broad phenomenon, negatively affecting incumbent firms across the spectrum of age, valuation, and levers, with the exception of very large and low‐leverage firms, in line with our central hypothesis.
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The currency depreciation rate is often computed as the ratio of foreign to domestic pricing kernels. Using bond prices alone to estimate these kernels leads to currency puzzles: the inability of models to match violations of uncovered interest parity and the volatility of exchange rates. This happens because of the FX bond disconnect, the inability of bonds to span exchange rates. Incorporating innovations to the pricing kernel that affect exchange rates but not bonds helps resolve the puzzles. This approach also allows one to relate news about cross‐country differences between international yields to news about currency risk premiums.
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We study the performance of collateralized loan obligations (CLOs) to understand the market imperfections giving rise to these vehicles and their corresponding economic costs. CLO equity tranches earn positive abnormal returns from the risk‐adjusted price differential between leveraged loans and CLO debt tranches. Debt tranches offer higher returns than similarly rated corporate bonds, making them attractive to banks and insurers that face risk‐based capital requirements. Temporal variation in equity performance highlights the resilience of CLOs to market volatility due to their closed‐end structure, long‐term funding, and embedded options to reinvest principal proceeds.
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We use market data on corporate bonds and equities to measure the value of U.S. corporate assets and their payouts to investors. In contrast to equity dividends, total corporate payouts are highly volatile, turn negative when corporations raise capital, and are acyclical. At the same time, corporate asset returns are similar to returns on equity, and both are exposed to fluctuations in economic growth. To reconcile this evidence, we argue that acyclical but volatile net repurchases mask the exposure of total payouts' cash components to economic growth risks. We develop an asset pricing framework to quantitatively illustrate this economic channel.
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Revisions in successive Greenbook forecasts of quarterly real GDP growth proxy for news of current and expected future economic growth. In the sample 1975 through 2015, news of future growth is slightly negatively related to contemporaneous changes in Treasury bond yields, while news of current growth is strongly positively related to changes in these yields. Both results are difficult to reconcile with a representative agent's bondholding first‐order condition. A continuous‐time dynamic model of output attributes almost all of the covariation with yields to martingale innovations in log output and a minimal amount to innovations in the conditional drift of log output.
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We present a new approach for estimating small business equity returns. This approach applies the Merton (1974) credit model to the returns on entrepreneurial business credit card debt securitizations and solves for the implied equity returns for the small businesses owned by the cardholders. The estimated small business equity premium is 10.74%. The standard deviation of small business equity returns is 56.37%. We validate the methodology by applying it to investment‐grade corporate bonds and recovering a public equity premium of 6.17%.
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Municipal bonds exhibit considerable retail pricing variation, even for same‐size trades of the same bond on the same day, and even from the same dealer. Markups vary widely across dealers. Trading strongly clusters on eighth price increments, and clustered trades exhibit higher markups. Yields are often lowered to just above salient numbers. Machine learning estimates exploiting the richness of the data show that dealers that use strategic pricing have systematically higher markups. Recent Municipal Securities Rulemaking Board rules have had only a limited impact on markups. While a subset of dealers focus on best execution, many dealers appear focused on opportunistic pricing.
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The average difference between the court value and postemergence market value of newly issued stocks in Chapter 11 reorganizations exceeds 50%. We show that public dissemination of transactions in defaulted bonds reduces this difference by 23% and largely eliminates interclaimant wealth transfers. The effects of dissemination are only significant when the bonds are sufficiently traded around the court valuation date and when they receive significant amounts of postemergence equity, indicating that the bond's value is sensitive to the size and allocation of the pie. These findings imply that security prices have real effects: they improve the valuations of bankruptcy participants.
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We propose a new measure of private information in decentralized markets—connections—which exploits the time variation in the number of dealers with whom a client trades in a time period. Using trade‐level data for the U.K. government bond market, we show that clients perform better when having more connections as their trades predict future price movements. Time variation in market‐wide connections also helps explain yield dynamics. Given our novel measure, we present two applications suggesting that (i) dealers pass on information, acquired from their informed clients, to their affiliates, and (ii) informed clients better predict the orderflow intermediated by their dealers.
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This paper proposes a theory of excess price fluctuations in over‐the‐counter secondary markets. When heterogeneous assets trade under asymmetric information, a quality effect emerges: high liquidity lowers the quality of the pool of sellers and decreases future liquidity. Cyclical equilibria can arise even without fundamental shocks. In a cycle, investors speculate by bidding up the price of low‐quality assets, anticipating a high resale price at the peak. When this resale effect is strong, cycles disappear and multiple steady states coexist with different levels of liquidity. The model rationalizes empirical patterns for corporate bonds and housing in particular.
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- Journal Article (325)
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Between 1900 and 1999
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- Between 2000 and 2024 (119)