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 237 resources
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We study how shifting global macroeconomic conditions affect sovereign bond prices. Bondholders earn premia for two sources of systematic risk: exposure to low-frequency changes in the state of the economy, as captured by expected macroeconomic growth and volatility, and exposure to higher-frequency macroeconomic shocks. Our model predicts that the first source, labeled long-run macro risk, is the primary driver of the level and the cross-sectional variation in sovereign bond premia. We find support for this prediction using sovereign bond return data for 43 countries over the 1994–2018 period. A long-short portfolio based on long-run macro risk earns 8.11% per year in our sample.
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We construct a measure of systematic default defined as the probability that many firms default at the same time. We account for correlations in defaults between firms through exposures to common shocks. Systematic default spikes during recessions, is correlated with macroeconomic indicators, and predicts future realized defaults. More importantly, it predicts future equity and corporate bond index returns both in- and out-of-sample. Finally, we find that the cross-section of average stock returns is related to firm-level exposures to systematic default risk.
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We test the conditional consumption-CAPM using asset holders’ consumption and find that the time variation in the prices of asset holders’ consumption risk is procyclical. This puzzling time variation is at odds with the implication of existing consumption-based equilibrium asset pricing models. We show that our finding is a salient feature of the data observed in multiple asset classes (aggregate equity market, equity portfolios, bond portfolios, and commodities portfolios), using different measures of consumption (household survey data and high-frequency retail shopping data) and alternative empirical methodologies.
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We investigate how the dynamics of corporate debt policy affect the pricing of corporate bonds. We find empirically that debt issuance has a significant stochastic component that is imperfectly correlated with shocks to asset value. As a consequence, the volatility of leverage is significantly higher than asset volatility over short horizons. At long horizons, the relation between leverage and asset volatility is reversed due to mean reversion in leverage. We incorporate these stochastic debt dynamics into structural models of credit risk, both standard diffusion models as well as newer models with stochastic volatility and jumps. Including stochastic debt gives more accurate predictions of credit spreads in both the cross-section and the time series.
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Do investors reach for yield when interest rates are low and does this behavior affect the housing market? Using the unique setting and data of 18th-century Amsterdam, I show that reach-for-yield behavior of wealthy investors resulted in a large boom and bust in house prices and major changes in rental yields. Exploiting changes in the supply of bonds, I show that investors living off capital income shifted their portfolios towards real estate and other higher-yielding assets when bond yields were low and decreasing. This behavior exacerbated house price volatility and increased housing wealth inequality.
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We propose a model-free methodology to estimate international stochastic discount factors (SDFs) that jointly price cross-sections of international stocks, bonds, and currencies in markets with frictions. We theoretically establish a SDF decomposition into one global factor and a currency basket. We show that our global factor prices a large cross-section of international asset returns, not just in- but also out-of-sample, across different currency denominations. Moreover, the pricing ability of the global factor is largely independent of the market structure or the size and type of market friction.
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Bond underwriters, lacking “Greenshoe options” and formal systems to track “flipping” activity, have fewer tools than equity underwriters to manage secondary market order flow uncertainty. We show that bond underwriters respond by selectively “overallocating” some issues to attain net short positions. Overallocations are economically substantive, facilitate the syndicate's price stabilization efforts, and are largely offset in the days after issuance. These issues on average experience more net selling by institutional investors and, despite large syndicate purchases, appreciate less in the secondary market. Thus, overallocation is an observable indicator that underwriters anticipate weakness in net secondary market demand.
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Green assets delivered high returns in recent years. This performance reflects unexpectedly strong increases in environmental concerns, not high expected returns. German green bonds outperformed their higher-yielding non-green twins as the “greenium” widened, and U.S. green stocks outperformed brown as climate concerns strengthened. Despite that outperformance, we estimate lower expected returns for green stocks than for brown, consistent with theory. We estimate expected returns in two ways: ex ante, using implied costs of capital, and ex post, using realized returns purged of shocks from climate concerns and earnings. A theoretically motivated green factor explains much of value stocks’ recent underperformance.
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Firms sharing a board member with a media company receive more news coverage. This in turn affects those firms’ financing choices: they issue more bonds, rely less on bank loans, and have lower blockholder ownership. These findings are consistent with media coverage acting as an external governance mechanism that substitutes for monitoring by banks and equity blockholders. The effect of media-linked directors on financing is evident in panel and time series analyses and using two different instrumental variable analyses, suggesting a causal relation.
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This paper introduces a real-time, continuous measure of national sentiment that is language-free and thus comparable globally: the positivity of songs that individuals choose to listen to. This is a direct measure of mood that does not pre-specify certain mood-affecting events nor assume the extent of their impact on investors. We validate our music-based sentiment measure by correlating it with mood swings induced by seasonal factors, weather conditions, and COVID-related restrictions. We find that music sentiment is positively correlated with same-week equity market returns and negatively correlated with next-week returns, consistent with sentiment-induced temporary mispricing. Results also hold under a daily analysis and are stronger when trading restrictions limit arbitrage. Music sentiment also predicts increases in net mutual fund flows, and absolute sentiment precedes a rise in stock market volatility. It is negatively associated with government bond returns, consistent with a flight to safety.
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Journals
Topic
- Bond
- Capital Structure (2)
- Director (2)
- Mergers and Acquisitions (2)
- CEO (1)
Resource type
- Journal Article (237)
Publication year
- Between 1900 and 1999 (36)
- Between 2000 and 2024 (201)