Illiquidity and Its Threats - A Study of the U.S. Corporate Bond Market
(2021) In Master's thesis in Mathematical Sciences FMSM01 20211Mathematical Statistics
- Abstract
- In recent times of market turmoil, liquidity risk has become a big talking point. As certain Swedish fixed income funds, which were advertised as safe investment options, closed for a few trading days in March of 2020 due to the extremely high
stress on the market, questions about how illiquidity a↵ects risk and return were asked. There has been plenty of previous research on the subject and it all shows that a liquidity risk premium is present. However, most of this research has been done on stocks which is a relatively liquid type of asset and indicates that liquidity risk might be much more problematic for less liquid assets, such as the ones traded on the OTC-market. OTC data from the U.S. market is publicly available on the Trade... (More) - In recent times of market turmoil, liquidity risk has become a big talking point. As certain Swedish fixed income funds, which were advertised as safe investment options, closed for a few trading days in March of 2020 due to the extremely high
stress on the market, questions about how illiquidity a↵ects risk and return were asked. There has been plenty of previous research on the subject and it all shows that a liquidity risk premium is present. However, most of this research has been done on stocks which is a relatively liquid type of asset and indicates that liquidity risk might be much more problematic for less liquid assets, such as the ones traded on the OTC-market. OTC data from the U.S. market is publicly available on the Trade Reporting and Compliance Engine and a data set containing around three million transactions
over two years is used in this study. To find a suitable liquidity measure for the sample data at hand, a multiple linear regression is made for three different and widely used liquidity measures as dependent variables and known liquidity factors as explanatory variables. The measure is then incorporated into return models as well as analysed in times of stressed market. When incorporating the best liquidity
measure into return models, it improves the results significantly which suggests that the bonds are traded at a premia. Finally, there is a clear increase in illiquidity as
the volatility on the market increases which gives further understanding as to why the Swedish funds had to close. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9061377
- author
- Löfquist, Adam LU and Ottosson, Erik LU
- supervisor
- organization
- course
- FMSM01 20211
- year
- 2021
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Liquidity, price dispersion, Hui-Heubel liquidity ratio, ILLIQ, TRACE, U.S. corporate bonds, Over-the-Counter market, regression analysis, return modelling, stressed market conditions.
- publication/series
- Master's thesis in Mathematical Sciences
- report number
- LUTFMS-3416-2021
- ISSN
- 1404-6342
- other publication id
- 2021:E29
- language
- English
- id
- 9061377
- date added to LUP
- 2021-07-09 08:39:20
- date last changed
- 2021-08-20 17:01:49
@misc{9061377, abstract = {{In recent times of market turmoil, liquidity risk has become a big talking point. As certain Swedish fixed income funds, which were advertised as safe investment options, closed for a few trading days in March of 2020 due to the extremely high stress on the market, questions about how illiquidity a↵ects risk and return were asked. There has been plenty of previous research on the subject and it all shows that a liquidity risk premium is present. However, most of this research has been done on stocks which is a relatively liquid type of asset and indicates that liquidity risk might be much more problematic for less liquid assets, such as the ones traded on the OTC-market. OTC data from the U.S. market is publicly available on the Trade Reporting and Compliance Engine and a data set containing around three million transactions over two years is used in this study. To find a suitable liquidity measure for the sample data at hand, a multiple linear regression is made for three different and widely used liquidity measures as dependent variables and known liquidity factors as explanatory variables. The measure is then incorporated into return models as well as analysed in times of stressed market. When incorporating the best liquidity measure into return models, it improves the results significantly which suggests that the bonds are traded at a premia. Finally, there is a clear increase in illiquidity as the volatility on the market increases which gives further understanding as to why the Swedish funds had to close.}}, author = {{Löfquist, Adam and Ottosson, Erik}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's thesis in Mathematical Sciences}}, title = {{Illiquidity and Its Threats - A Study of the U.S. Corporate Bond Market}}, year = {{2021}}, }