Swap Market Research Articles

Quality Evaluation and Optimization of Idle Goods Swap Platform Based on Grounded Theory and Importance–Performance Analysis

Given economic downturns and environmental concerns, promoting innovative consumption patterns is urgently needed. Swap is a promising collaborative consumption pattern that redistributes ownership of goods without using money. In the past, no research has focused on swap platform quality due to a lack of empirical resources. Therefore, this study aims to construct theoretical methods for evaluating and optimizing the quality of swap platforms. Analyzing consumer characteristics and motivations, the study creates a user profile that guides swap platforms’ market positioning. Then a quality evaluation model for swap platforms is constructed to identify areas for improvement. Data were collected from core users of a start-up swap platform in Shanghai, including 20 in-depth interviews and 180 survey questionnaires. The findings reveal that the main consumers in Shanghai’s swap market are highly educated women aged 20 to 40, with upper-middle incomes. They are motivated by functional, charitable, economic, and hedonic factors. Using grounded theory and the IPA method, this study developed a quality evaluation model for swap platforms, consisting of 18 indicators that clearly distinguish areas of weakness and strengths. This study provides valuable insights into the methodological research of quality evaluation for swap platforms and offers practical suggestions for their optimization.

A Hierarchical-Dealer-Centric Model of FX Swap Valuation

This paper constructs a model of foreign exchange (FX) swap valuation based on dealers’ behavior and the hierarchy of the global dollar funding system. International investors use these currency derivatives to synthetically fill their US-dollar funding gaps. In this model, three attributes of market structure drive the valuation of FX swaps: market-making costs (measured by dealers’ bid-ask spreads), dollar funding liquidity risk (measured by CIP deviation and market imperfections), and FX swap market liquidity (measured by dealer competition). The goal is to understand how market design influences the cost of US dollar funding and its spillover effects. FX dealers are vital institutions in this ecosystem, as their balance sheets connect national monetary systems to the global dollar funding markets. For currencies with low FX turnover, central banks act as market makers, while private banks serve as dealers for currencies with the highest FX turnover. Studying the “dollar funding gap” through the lens of FX swap dealers is a crucial aspect often overlooked in international finance scholarship.

Forecasting sovereign CDS spreads with a regime‐switching combination method

AbstractWith the growing importance of the sovereign credit default swap (CDS) market, accurate forecasting of sovereign CDS spreads has gained significant attention. In view of the complex volatility in the series of sovereign CDS spreads, this study presents a novel combination forecasting framework, which introduces time‐varying weights to effectively combine diverse individual models. To identify optimal subsets of models, a mutual information approach is employed, while the regime‐switching method is utilized to integrate the selected models. The proposed method's efficacy is validated using data from 65 countries. Empirical findings underscore the superiority of the proposed approach over benchmark models in terms of both horizontal and directional prediction accuracy, particularly when the sovereign CDS data exhibits a balanced distribution between high and low volatility regimes.

Do agricultural swaps co-move with equity markets? Evidence from the COVID-19 crisis

Using proprietary data reported by swap dealers to the Commodity Futures Trading Commission, we first present new evidence on the size and composition of 13 over-the-counter agricultural swaps markets. We then utilize our novel dataset to show the existence of linkages with the equity markets. We use the spike in the Chicago Board Options Exchange Volatility Index in early 2020 to show that swaps trader positions were significantly impacted by the financial market volatility created by the COVID-19 pandemic. Following similar methods as Cheng et al. (2015), we find index swaps traders reduce their net long positions in response to tightening financial conditions, while commercial swaps traders absorb some of this risk by decreasing their net short positions. This internal swap market netting occurs in three of the four largest agricultural markets: corn, soft red winter wheat, and sugar. Concurrently, we observe a limited swap dealer hedging response in the futures market, especially when compared to other financial traders, consistent with swap market netting. Our results confirm that equity market shocks can affect financial traders in both commodity swaps and futures markets.

Do ESG disclosures mitigate investors’ reaction on mining disasters? Evidence from Brazil

The purpose of this paper is to examine the investors´ reaction to the largest ecological disasters –Samarco (2015) and Brumadinho (2019)– occurred in Minas Gerais (Brazil). Applying a short-term event study analysis, we test the stock and Credit Default Swap (CDS) market´s on the mining sector. Moreover, a cross-sectional analysis is performed testing the effect of ESG disclosures on the market reaction –in terms of Cumulative Abnormal Returns, CAR– on the competitors of Vale S.A., the company involved in such ecological catastrophes. Our findings show a statistically significant reaction in both events. Investors´ react negatively and immediately in the case of Vale for both events; CARs are statistically significant for the shorter windows. However, investors react differently in the mining sector sample –excluding Vale–. While CARs are negative in Samarco, investors do so positively in the case of Brumadinho. In that sense, investors seemed as if they switch their perceptions from this first event –Samarco–in comparison to the most recent one –Brumadinho– rewarding the increase of ESG disclosures in the meantime and mitigating a negative contagion effect in the mining sector. The impact on the CDS market is also found positive in mining sector.

Sovereign Credit Default Swap Market Volatility in BRICS Countries Before and During the COVID-19 Pandemic

SCDS (Sovereign Credit Default Swaps) are becoming more widely used as a country risk indicator after 2008 and stand out for providing real-time information rather than periodic reporting. The COVID-19 pandemic has led to economic disruptions and a decline in international trade. Understanding how the Pandemic affects SCDS return volatility in emerging economies like BRICS forms the motivation for our research. With this study, we aim to determine the impact of the COVID-19 Pandemic on SCDS return volatility in Brazil, Russia, India, China and South Africa, known as the BRICS countries. We used the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model to analyze the data, which consisted of the daily closing price data for SCDS. The date of the first COVID-19 case in each country has been taken as the beginning of the COVID-19 Pandemic in each country. The results of the estimated GARCH models show that the volatility processes of the SCDS return series differ between periods. EGARCH model results indicate that shocks created by news in these countries during the Pandemic have a small and persistent effect on Brazil and Russia's SCDS return volatility, while they have a large and enduring effect on China and South Africa's SCDS return volatility. The findings will guide policymakers and portfolio managers in determining risk management models.

International transmission of China’s monetary policy

ABSTRACT This paper quantifies the spillover effects and explores the transmission channels in a panel of advanced and emerging economies. Using a panel local projection model to identify Chinese monetary policy shock by the change in the 7-day repo rate in the interest rate swap market, we find that China’s monetary tightening causes a significant drop in global output, with a larger decline in emerging economies than in advanced economies. Moreover, spillovers of Chinese monetary policy mainly depend on the trade channel, while the exchange rate channel and the financial channel are insignificant. To further explain empirical findings, we develop a basic two-country model and unveil the inherent logic.

The Impact of Credit Rating on Credit Default Swap Market: Evidence from Sovereign Downgrades

The Impact of Credit Rating on Credit Default Swap Market: Evidence from Sovereign Downgrades

Valuation of callable range accrual linked to CMS Spread under generalized swap market model

In this paper, we price a widely-used financial instrument, the callable range accrual linked to constant maturity swap (CMS) spread, with the least square Monte Carlo method (LSMC) under the generalized swap market model (GSMM). This method, based on the swap rate, does not only provide an intuitive pricing solution, but also captures the characteristics of the swap market, which helps market participants better face the challenge of the London interbank offered rate (LIBOR) phase-out. By choosing the prices valued by the two-factor Hull–White model in Bloomberg as a benchmark, our method provides an accurate result, following the economic intuitions. Last but not least, we examine the impacts from the shifting of the yield curve and volatility term structure by sensitivity analysis. We find that the price positively correlates with the volatility term structure among 1% shifts, while the relationship can be uncertain in larger shifts. The changes in the estimated parameters, such as the yield curve and volatility term structure, might reflect the occurrences of macroeconomic events, such as the COVID-19 pandemic.

Contagion in the Euro area sovereign CDS market: a spatial approach

PurposeThis paper explores whether the Euro-area sovereign credit default swap market is prone to contagion effects. It investigates whether the sharp increase in sovereign CDS spread of a given country is due to a deterioration of the macroeconomic variables or some form of contagion.Design/methodology/approachFor this purpose, the authors use an innovative approach, i.e. spatial econometrics. Although modeling spatial dependence is an attractive challenge, its application in the field of finance remains limited.FindingsThe empirical findings show strong evidence of spatial dependence highlighting the presence of pure contagion. Furthermore, evidence of wake-up call contagion-increased sensitivity of investors to fundamentals of neighboring countries and shift contagion-increased sensitivity to common factors are well recorded.Originality/valueThis study aims to study a crucial financial issue that gained increased research interest, i.e. financial contagion. A methodological contribution is made by extending the standard spatial Durbin model (SDM) to analyze and differentiate between several forms of contagion. The results can be used to understand how shocks are spreading through countries.

The Influence of Equity Market Sentiment on Credit Default Swap Markets: Evidence from Wavelet Quantile Regression

Previous studies focused on the fundamental channels of the interaction between the equity market and credit default swap (CDS) market. This paper finds another channel, investor sentiment, that contributes to the impact of the equity market on the CDS market under different time horizons and market conditions within the framework of wavelet quantile regression. It absorbs both the merits of wavelet transform and quantile regression and is advantageous in analyzing heterogeneous time horizons and full conditional distributions. Empirical results show that investor attitude turning optimistic has a negative influence on the deviation of CDS market spread from theoretical value, while the intensification of fear among equity market will enlarge this deviation. Besides, we discovered that the influence of equity market sentiment on the CDS market first increases and then decreases as the time horizon lengthens and that the greater the deviation of CDS spreads from intrinsic value is, the more irrational the CDS market participants are. These findings suggest that the influence of investor sentiment on the credit default swap market is self-reinforced. Our results are robust after controlling for macroeconomic conditions and under different wavelet decompositions. Reasonable suggestions are given to financial institutions, investors, and policy makers based on our findings.

Pricing of Credit Risk Derivatives with Stochastic Interest Rate

This paper deals with a credit derivative pricing problem using the martingale approach. We generalize the conventional reduced-form credit risk model for a credit default swap market, assuming that the firms’ default intensities depend on the default states of counterparty firms and that the stochastic interest rate follows a jump-diffusion Cox–Ingersoll–Ross process. First, we derive the joint Laplace transform of the distribution of the vector process (rt,Rt) by applying piecewise deterministic Markov process theory and martingale theory. Then, using the joint Laplace transform, we obtain the explicit pricing of defaultable bonds and a credit default swap. Lastly, numerical examples are presented to illustrate the dynamic relationships between defaultable securities (defaultable bonds, credit default swap) and the maturity date.

Counterparty Risk and Counterparty Choice in the Credit Default Swap Market

We investigate how market participants price and manage counterparty credit risk using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts but a large impact on the choice of counterparties. For contracts ineligible for central clearing, we show that market participants are significantly less likely to trade with counterparties whose credit risk is highly correlated with the credit risk of the reference entities and with counterparties whose credit quality is low. For clearable contracts, we find that nondealers are more likely to clear during a crisis and less likely to clear when the reference entity is a large U.S. dealer or a sovereign. This paper was accepted by Kay Giesecke, finance. Supplemental Material: The internet appendix and data are available at https://doi.org/10.1287/mnsc.2023.4870 .

Repeating Christmas jump in LIBOR.

Background: London Interbank Offered Rate (LIBOR) exists since 1986 as a benchmark interest rate. Methods: Using two-layer linear regression method, we found a pattern of shortterm nature in LIBOR behaviour. Results: To wit, 2-month LIBOR experiences a jump after Xmas for the last two decades. The direction and size of the jump depend on the data trend on 21 days before Xmas. Conclusions:The obtained results can be used to build a winning strategy on the Swap Market.

Extracting implied volatilities from bank bonds

In this work, we explore the information content of senior, subordinated and additional tier 1 (or contingent convertible) bonds issued by euro-area banks. We analyze both the asset volatility implied in senior and subordinated bonds and credit default swap market spreads, and the common equity tier 1 (CET1) ratio volatility extracted from additional tier 1 bonds secondary market spreads in the period from December 31, 2012 to March 31, 2021. Furthermore, we jointly consider the following important bank variables: asset, equity and CET1 ratio volatilities. In doing so, we can obtain the market view on credit spreads, banks balance sheet and capital ratio dynamics on a daily basis even if bank data are released quarterly. The approach can be used to monitor the risk of each bank, as perceived by the market, and to investigate banking fragility at a stand-alone or at a country level. Finally, we compare our estimated equity implied volatilities with the volatilities implied in equity option quotes and we show that this indicator depends on the model and the financial instruments considered in the calibration.

Liquidity yield and exchange rate predictability

In this paper, we extend the Taylor rule model of exchange rate determination by incorporating the liquidity yield on government bonds, and investigate exchange rate predictability from the augmented Taylor rule model. We find that the liquidity yield on government bonds delivers additional predictive power to future exchange rate movements beyond the model with Taylor rule fundamentals, using both in-sample and out-of-sample tests. In particular, the augmented model with liquidity yield exhibits superior predictive power after the currency swap market frictions are controlled.

Cross‐market information transmission along the supply chain network

In this paper, we investigate whether and how investors of suppliers learn from the private information embedded in the customer credit default swap (CDS) market prior to customer earnings announcements. We find that investors of suppliers indeed incorporate the customer private information revealed in the CDS market into the supplier valuation, thereby leading to significant changes in suppliers’ future stock prices. Moreover, such price discovery effect is more pronounced when: (i) the level of customer private information revealed in the CDS market is more prominent; (ii) the customer bond market is more illiquid; (iii) the customers are expected to report bad earnings news or experience deteriorated credit conditions; (iv) the strength of the supplier–customer economic bond is stronger. Our results remain robust when we control for the supplier's own CDS market price discovery effect or conduct matched sample analyses. Finally, utilizing the passage of the Dodd–Frank Wall Street Reform and Consumer Protection Act (Dodd–Frank Act) as an exogenous shock, we show that the effect of customer CDS trading on suppliers’ future stock prices is less pronounced after the Dodd–Frank Act due to more explicit regulation on informed trading activities. Overall, our study documents significant cross‐market information transmission along the supply chain network (i.e., from the customer derivative market to the supplier equity market).

How credit default swap market measures carbon risk.

Given the increasing concerns about the carbon risk's influence on economy, this paper is aimed at exploring the impact of carbon emission on credit risk, measured by credit default swap. By using monthly updated data of 363 unique US companies among a period between 2007 and 2020, we uncover that firm's direct carbon emission increases its CDS spreads, whereas indirect emission is not priced by credit market seriously. Considering dynamic effects of carbon risk, we find a positive correlation between carbon risk and the CDS term structure, which implies that carbon risk's influence on long-term concern of credit risk can be more pronounced. Using exogenous shock: Paris Agreement, our finding remains robust. Finally, we also examine potential channels, including companies' sustainability awareness, green transition willingness, and ability, through which carbon risk is priced among the credit market. This paper provides further evidence of carbon credit premium and contributes to the implications of carbon cutting activities.

Inclusion of debt claims in asset pricing models: Evidence from the CDS Index

Asset pricing theory suggests that the correct proxy for the market portfolio should contain both the debt and equity claims of the economy, whereas prevailing empirical studies fail to include the debt claim. Motived by the discrepancy between the theoretical and empirical models and the difficulty in constructing proxies, the study uses the Credit Default Swaps (CDS) market index as a proxy for the debt market and empirically tests its explanatory power in explaining stock return variations. Employing panel regression and Fama-MacBeth regression of all publicly traded U.S. companies from 2005 to 2020, the study finds a negative relationship between CDS index returns and stock returns. On average, a one standard deviation increase in CDS index return is associated with a 0.02% decrease in daily stock returns. Results of two-stage regressions show that the estimated systematic credit risk is positively priced in stock returns with similar economic magnitude as the well-documented beta risk. These results support asset pricing theories in the inclusion of debt claim and the risk-return tradeoff, while contradicting the credit risk puzzle documented in prior studies.

Convenience yield and real exchange rate dynamics: A present‐value interpretation

AbstractIn this paper, we empirically investigate the relationship between the convenience yield of government bonds and the real exchange rates using monthly data from 1999 to 2018. We extend the conventional models, based on the present‐value relationship between the real exchange rate and economic fundamentals, while explicitly considering the role of the convenience yield. Empirical results suggest that our present‐value models can capture the dynamic properties of the real exchange rate documented in the literature, including high persistence, excess volatility and excess co‐movement compared with real interest rate differentials. We also find that the sum of expected convenience yields significantly drives real exchange rate movements. Moreover, we find that foreign exchange swap market friction also plays a role in explaining real exchange rates. Finally, we find that monetary policy at the zero lower bound may be essential in real exchange rate modelling.