This project discusses the intensity and survival probability derived from Credit Default Swaps (CDS). We utilize two models, the reduced intensity model and the Shift Square Root Diffusion (SSRD) model. In the reduced intensity model, we assume a deterministic intensity and implement a computer simulation to derive the survival probability and intensity from the CDS market quotes of the company. In the SSRD model, the interest rate and intensity are both stochastic and correlated. We discuss the impaction of correlation on the interest rate and intensity. We also conduct a Monte Carlo simulation to determine the dynamics of stochastic interest rate and intensity.

This master thesis discusses alternative debt management instruments - GDP-linked bonds. It provides concise characterization of sovereign debt management. Additionally, it discusses traditional derivatives, such as futures, swaps and bonds, from the government's point of view. The main goal of the thesis is to verify whether GDP-linked bonds are suitable for the Czech and Slovak debt management. Ergo, the bonds could smooth the cost of serving the debt. Furthermore, it describes the development of the sovereign debt and risk premium of the government bonds of the Czech and Slovak republics. It tries to find out whether the risk premium of Slovak bonds differed after introduction of euro. Additionally, the thesis analyzes the effect of various country specific variables on the development of the risk premium. The last but not least goal is to support or reject the hypothesis whether the GDP-linked bonds should be appealing to European economic and monetary union as the members has to satisfied Stability and Growth Pact requirements. The conclusion of the thesis is that the hypothesis of positive effect of the GDP-linked bonds on the cost of serving debt is partly rejected in case of the Czech and Slovak republics as well as in the case of European economic and monetary union. Furthermore, the risk...

This thesis is a collection of three essays in empirical studies on derivatives. In the first chapter, I investigate whether credit default swap spreads are affected by how the total risk is decomposed into the systematic risk and the idiosyncratic risk for a given level of the total risk. The risk composition is measured by the systematic risk proportion, defined as the proportion of the systematic variance in the total variance. I find that a firm’s systematic risk proportion has a negative and significant effect on its CDS spreads. Moreover, this empirical finding is robust to various alternative specifications and estimations. Therefore, the composition of the total risk is an important determinant of CDS spreads. In the second chapter, I estimate the illiquidity premium in the CDS spreads based on Jarrow’s illiquidity-modified Merton model using the transformed-data maximum likelihood estimation method. I find that the average model implied CDS illiquidity premium is about 15 basis points, accounting for 12% of the average level of the CDS spread. I further investigate how this parameter is affected by CDS liquidity measures such as the percentage bid-ask spread and the number of daily CDS spreads available in one month. I find that both liquidity measures are significant determinants of the model implied CDS illiquidity premium. In terms of relative importance, the bid-ask spread is more important than the number of daily CDS spreads statistically and economically. In the third chapter, I investigate the impact of the systematic risk on the volatility spread, i.e, the difference between the risk-neutral volatility and the physical volatility. I find that the systematic risk proportion of an underlying asset has a positive and significant impact on its volatility spread. The risk-neutral volatility in this study is measured with the increasingly popular approach known as the model-free risk-neutral volatility. The surprising positive systematic risk effect was first documented in Duan and Wei (2009) using the Black-Scholes implied volatility. I show that this effect is actually more prominent using the clearly better model-free risk-neutral volatility measure.

This thesis is a collection of three essays in empirical studies on derivatives. In the first chapter, I investigate whether credit default swap spreads are affected by how the total risk is decomposed into the systematic risk and the idiosyncratic risk for a given level of the total risk. The risk composition is measured by the systematic risk proportion, defined as the proportion of the systematic variance in the total variance. I find that a firm’s systematic risk proportion has a negative and significant effect on its CDS spreads. Moreover, this empirical finding is robust to various alternative specifications and estimations. Therefore, the composition of the total risk is an important determinant of CDS spreads. In the second chapter, I estimate the illiquidity premium in the CDS spreads based on Jarrow’s illiquidity-modified Merton model using the transformed-data maximum likelihood estimation method. I find that the average model implied CDS illiquidity premium is about 15 basis points, accounting for 12% of the average level of the CDS spread. I further investigate how this parameter is affected by CDS liquidity measures such as the percentage bid-ask spread and the number of daily CDS spreads available in one month. I find that both liquidity measures are significant determinants of the model implied CDS illiquidity premium. In terms of relative importance, the bid-ask spread is more important than the number of daily CDS spreads statistically and economically. In the third chapter, I investigate the impact of the systematic risk on the volatility spread, i.e, the difference between the risk-neutral volatility and the physical volatility. I find that the systematic risk proportion of an underlying asset has a positive and significant impact on its volatility spread. The risk-neutral volatility in this study is measured with the increasingly popular approach known as the model-free risk-neutral volatility. The surprising positive systematic risk effect was first documented in Duan and Wei (2009) using the Black-Scholes implied volatility. I show that this effect is actually more prominent using the clearly better model-free risk-neutral volatility measure.

This paper seeks to fill a gap in the literature regarding the consequences of banning ‘naked’ Credit Default Swaps (CDS). In particular, I use the European Union’s Ban on ‘naked” Sovereign CDS as an event study to evaluate the impact that banning such derivative products has on the price discovery process in the credit markets. Using both Granger Causality tests and a Vector Error Correction Model, I find that before November 1, 2012, CDS are the clear price leader in the credit markets. However, since the official date the regulation was put into effect, CDS’ price leadership was eroded. Moreover, after the ban, CDS and Bond Yield Spreads are no longer cointegrated in the long run, suggesting that different pricing mechanisms now exist between the two securities

The objective of this project is to investigate and model the quantitative connection between market prices of credit default swaps and the market perceived probability and timing of default by the underlying borrower. We quantify the credit risk of a borrower in a two-way relationship: calculate the term structure of default probabilities from the market prices of traded CDSs and calculate prices of CDSs from the probability distribution of the time-to-default.

Thesis advisor: Philp E. Strahan / This dissertation is comprised of three essays which examine the interactions among credit market innovation, corporate finance, and information intermediaries. In the first essay, I study the role of credit default swaps (CDS) in reducing credit supply frictions for corporate borrowers. I find that firms whose CDS is included in a major CDS index--the CDX North American Investment Grade index--have significantly lower cost of debt, and in response rely more heavily on debt for external financing. To address the potential endogeneity of index addition, I use a regression discontinuity design by exploiting the index inclusion rule, which allows me to compare firms that are just above and below the index inclusion cutoff. I show that index inclusion improves the liquidity of underlying single-name CDSs, which enables constituent firms' debtholders to better hedge their credit risk exposure. My findings suggest that CDS market benefits investment-grade borrowers by alleviating the supply-side frictions in credit markets. In the second essay, we investigate the role of proxy advisory firms in shareholder voting. Proxy advisory firms have become important players in corporate governance, but the extent of their influence over shareholder votes is debated. We estimate the effect of Institutional Shareholder Services (ISS) recommendations on voting outcomes by exploiting exogenous variation in ISS recommendations generated by a cutoff rule in its voting guidelines. Using a regression discontinuity design, we find that in 2010-2011, a negative ISS recommendation on a say-on-pay proposal leads to a 25 percentage point reduction in say-on-pay voting support, suggesting strong influence over shareholder votes. We also use our setting to examine the informational role of ISS recommendations. In the third essay, I examine how Moody's ratings have responded to the introduction of Credit Default Swap (CDS) market--an important innovation in credit markets in the past decade. I find that ratings quality of CDS firms, measured as default predictive power, improved significantly after the onset of CDS trading, consistent with a disciplining role of the CDS market. I show that ratings become more accurate in terms of less failure to warn (i.e. rating a defaulter too high) which is not accompanied by a rise of false alarms. In addition, rating downgrades are significantly more likely to be preceded by negative outlook or a watch for downgrade. The results are robust to controlling for the endogeneity of CDS trading. Overall, the evidence suggests that, in response to the CDS market developments, Moody's ratings become better at differentiating bad issuers from good ones as opposed to a "cookie-cutter'' approach to more conservative ratings. / Thesis (PhD) — Boston College, 2016. / Submitted to: Boston College. Carroll School of Management. / Discipline: Finance.

Credit Default Swaps (CDS) instruments - as an indicator of credit risk - were one of the most prominent innovations in financial engineering. Very limited literature existed on the drivers of CDS spreads before the financial crisis due to the opacity of this market and its lack of transparency. First, this thesis investigates the drivers of CDS spread in the UK banking sector, by considering the role of the housing market, over the period of 2004-2011. I find that, in the long-run, house price dynamics were the main factor contributing to wider CDS spreads. In addition, I show that a rise in stock prices lead to higher availability of capital and therefore increased bank borrowing activities, which led to lower credit risk. Furthermore, findings show that with higher aggregate bank liquidity, banks tend to grant more loans to low-income consumers, thus increasing bank credit risk. In addition, in the short-run, I employ the Structural VAR by imposing short-run restrictions to identify the five shocks arising from the CDS spread, the house price index, the yield spread, the TED spread, and the FTSE100. The SVAR findings indicate that a positive shock to house prices significantly increases the CDS spread in the medium-term, in the UK banking sector. In addition, apart from its own shock, the house price shock explains a big part of the variance (nearly 20%) in CDS spread. These results remained robust even after changing the ordering of the variables in the Structural VAR. Second, considering the bank-level factors across 30 countries and 115 banks, I find most significant bank-level drivers of the CDS spread were asset quality, liquidity and the operations income ratio. As such, banks with better asset quality, high levels of liquidity and operations income ratio were subject to lower CDS spreads and credit risk. Furthermore, larger banks were found to be more risky than smaller banks. We have conducted the U-test and our results indicate the presence of a U-shape relationship between bank size and bank CDS spread. It should be noted that in order to ensure that our results are robust, we used several estimation frameworks, including the FE, RE and alternative Generalized Method of Moments (GMM) approaches, which all prove the existence of a U-shape relationship between the CDS spread and bank size. In addition, we find a threshold level of bank size, which shows that banks growing beyond this point are subject to wider CDS spreads. Finally, I consider the difference in financial systems at country-level and regulatory structures at bank-level, in a panel setting, over the period of 2004-2011. At country-level, my findings directly link financial deepening to higher credit risk, reflecting a sign of credit bubble. Besides, at bank-level, I confirm my previous findings whereby asset quality, liquidity and operations income remain significant drivers of the CDS spread.

This study includes two theoretical works. In both works, I assume that economic agents have heterogeneous beliefs. I study collateralized loan transactions among economic agents arising from the divergent beliefs. Moreover, I make collateral requirements endogenously determined, along with interest rates and loan quantities. The theme of the first work is to study private transactions in currency crises. I assume that domestic residents have different beliefs on how resilient the central bank is in defending the currency. Due to the different beliefs, domestic residents willingly borrow and lend among themselves. I show that the heterogeneity of beliefs per se brings stability to the system, but that short-term collateralized loans among domestic residents arising from the divergent opinions make an exchange rate peg vulnerable. The second work is to understand credit default swaps in general equilibrium. The model features a market for a risky asset, a market for loans collateralized by the risky asset, and a market for credit default swaps referencing these loans. I show that the introduction of credit default swaps only as insurance has no effect on the price of the risky asset. And the introduction of credit default swaps both as insurance and as tools for making side bets depresses the price of the risky asset in general but has no effect hen the majority of the economy hold bearish views on the risky asset.

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