Hai Lin

Dr. Hai Lin

Wellington School of Business and Government, Victoria University of Wellington, Wellington 6012, New Zealand

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 June 2013 in The Journal of Fixed Income
Verified
Journal Article
Closed access
Hai LinHai Lin
Hai Lin
JWJunbo Wang
Junbo Wang
CWChunchi Wu
Chunchi Wu
This article investigates the role of liquidity risk in the momentum spillover from stocks to bonds by using a large data sample. The evidence strongly suggests that liquidity risk is an important determinant of momentum spillover returns. This finding is robust to controls for effects of trading liquidity, credit risk, behavioral factors, and bond characteristics. On average, liquidity risk explains about 40% of momentum spillover profits for investment-grade bonds and 55% for speculative-grade bonds over the 16-year sample period. A significant portion of momentum spillover returns can be viewed as compensation for investors’ exposure to liquidity risk when engaging in trading this anomaly.

3 March 2020 in Journal of Futures Markets
Verified
Journal Article
Closed access
PDF file
BGBiao Guo
Biao Guo
Hai LinHai Lin
Hai Lin

9 July 2022 in Journal of Empirical Finance
Verified
Journal Article
Closed access
Hai LinHai Lin
Hai Lin
XTXinyuan Tao
Xinyuan Tao
CWChunchi Wu
Chunchi Wu

23 February 2018 in Journal of Futures Markets
Verified
Journal Article
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BGBiao Guo
Biao Guo
QHQian Han
Qian Han
Hai LinHai Lin
Hai Lin

25 February 2009 in SSRN Electronic Journal
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Preprint
Open access
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Hai LinHai Lin
Hai Lin
SLSheen Liu
Sheen Liu
CWChunchi Wu
Chunchi Wu
This paper employs a new approach to estimating the size of liquidity premia in the credit default swap (CDS) and corporate bond markets. We develop a CDS pricing model with liquidity and default, and a corporate bond pricing model with default, taxes, and liquidity using the reduced-form approach, and jointly estimate parameters of both pricing models from pooled data using the generalized method of moments. By formulating default intensity as a common factor of the spreads of the CDS and reference bonds, we are able to identify the liquidity and other components of spreads more precisely. We find that both CDS and corporate bond spreads contain significant liquidity components. On average, the liquidity premium accounts for 13% of the CDS spread and 23% of the corporate yield spread. The size of the liquidity premium increases as the rating decreases. Estimates of liquidity premia in the CDS and corporate bond markets are highly correlated, and closely linked to bond-specific and aggregate liquidity measures. Results show that liquidity is important for CDS and corporate bond pricing. Ignoring CDS illiquidity results in a significant bias in estimation of corporate yield spread components when using the CDS information to aid in decomposition of spreads.

Verified
Journal Article
Open access
PDF file
Hai LinHai Lin
Hai Lin
XTXinyuan Tao
Xinyuan Tao
JWJunbo Wang
Junbo Wang
CWChunchi Wu
Chunchi Wu
Using an aggregate credit spread index, we find that it has substantial predictive power for corporate bond returns over short and long horizons. The return predictability is economically and statistically significant and robust to various controls. The credit spread index and its components have more predictive power for bond returns than conventional default and term spreads. When decomposing the credit spread index into investment- and speculative-grade components, the latter has more predictive power for future bond returns. The source of the index’s predictive power is from its ability to forecast future economic conditions.