Shifting Cryptocurrency Influence: A High-Resolution Network Analysis of Market Leaders

Over the last decade, the cryptocurrency market has experienced unprecedented growth, emerging as a prominent financial market. As this market rapidly evolves, it necessitates re-evaluating which cryptocurrencies command the market and steer the direction of blockchain technology. We implement a network-based cryptocurrency market analysis to investigate this changing landscape. We use novel hourly-resolution data and Kendall's Tau correlation to explore the interconnectedness of the cryptocurrency market. We observed critical differences in the hierarchy of cryptocurrencies determined by our method compared to rankings derived from daily data and Pearson's correlation. This divergence emphasizes the potential information loss stemming from daily data aggregation and highlights the limitations of Pearson's correlation. Our findings show that in the early stages of this growth, Bitcoin held a leading role. However, during the 2021 bull run, the landscape changed drastically. We see that while Ethereum has emerged as the overall leader, it was FTT and its associated exchange, FTX, that greatly led to the increase at the beginning of the bull run. We also find that highly-influential cryptocurrencies are increasingly gaining a commanding influence over the market as time progresses, despite the growing number of cryptocurrencies making up the market

Signaling through Dynamic Thresholds in Financial Covenants

Among private loan contracts with covenants originated during 1996-2012, 35% have financial covenant thresholds that automatically increase according to a predetermined schedule. Firms that accept these dynamic thresholds receive a lower interest spread and improve their creditworthiness relative to matched control firms. However, in the event of a covenant violation, these firms are less likely to receive a waiver, more likely to pay higher waiver fees, experience greater investment cuts, and are more likely to switch lead lenders than control firms. Overall, our findings suggest that signaling through dynamic thresholds in covenants is credible but costly to borrowers

Related Securities and Equity Market Quality: The Case of CDS

AbstractWe document that equity markets become less liquid and equity prices become less efficient when markets for single-name credit default swap (CDS) contracts emerge. This finding is robust across a variety of market quality measures. We analyze the potential mechanisms driving this result and find evidence consistent with negative trader-driven information spillovers that result from the introduction of CDS. These spillovers greatly outweigh the potentially positive effects associated with completing markets (e.g., CDS markets increase hedging opportunities) when firms and their equity markets are in “bad” states. In “good” states, we find some evidence that CDS markets can be beneficial.</jats:p

CEOs versus CFOs: Incentives and corporate policies

We undertake a broad-based study of the effect of managerial risk-taking incentives on corporate financial policies and show that the risk-taking incentives of chief executive officers (CEOs) and chief financial officers (CFOs) significantly influence their firms' financial policies. In particular, we find that CEOs' risk-decreasing (-increasing) incentives are associated with lower (higher) leverage and higher (lower) cash balances. CFOs' risk-decreasing (-increasing) incentives are associated with safer (riskier) debt-maturity choices and higher (lower) earnings-smoothing through accounting accruals. We exploit the stock option expensing regulation of 2004 to establish a causal link between managerial incentives and corporate policies. Our findings have important implications for optimal corporate compensation design.Capital structure Cash balance Debt maturity Accrual Incentives

Modeling loan commitments

Loan commitments represent more than 82 percent of all commercial and industrial loans by domestic banks. This paper develops a valuation model for loan commitments incorporating early exercise, multiple fees, partial exercise and credit risk. The model is analytically tractable and easy to implement. Using a sample of commercial paper backup credit lines from the Dealscan database, we show that our model prices closely match loan commitment market prices.

The effect of banking crisis on bank-dependent borrowers

We provide causal evidence that adverse capital shocks to banks affect their borrowers' performance negatively. We use an exogenous shock to the U.S. banking system during the Russian crisis of Fall 1998 to separate the effect of borrowers' demand of credit from the supply of credit by the banks. Firms that primarily relied on banks for capital suffered larger valuation losses during this period and subsequently experienced a higher decline in their capital expenditure and profitability as compared to firms that had access to the public-debt market. Consistent with an adverse shock to the supply of credit, crisis-affected banks decreased the quantity of their lending and increased loan interest rates in the post-crisis period significantly more than the unaffected banks. Our results suggest that the global integration of the financial sector can contribute to the propagation of financial shocks from one economy to another through the banking channel.Banking crisis Russian default Bank loans Credit crunch