Knowledge that Transforms

We develop a comprehensive index of the transparency of central banks regarding their policy framework to safeguard financial stability for 110 countries from 2000 to 2011 and examine the determinants and effects of this transparency. We find that the degree of transparency increased in the 2000s, though it still varied greatly across the countries in our study. Our regression results suggest that the central banks that have a transparent monetary policy are more likely to show increased transparency in their framework for financial stability. More developed countries exhibit greater transparency, past episodes of high financial instability have a negative effect on transparency and the legal origin matters, too. In line with theoretical literature, our results also suggest a non-linear effect of central bank financial stability transparency on financial stability. If transparency is too high, it is not beneficial for financial stability.

We present a structural method for measuring the upper bound for the illiquidity risk of liabilities issued by a levered firm. The method calculates the upper bound of illiquidity spread of a corporate bond given its duration and the issuing firm’s asset risk and leverage ratio. Consistent with the empirical literature the illiquidity spread is positively related to the issuing firm’s asset risk and leverage ratio and the illiquidity component increases with a bond’s credit quality. The term structure of illiquidity spread has a humped shape, where its maximum level depends on the firm’s leverage ratio. Finally, we demonstrate how the method’s implied restricted trading period can be used as a measure for illiquidity in the bonds’ market.

The modeling process of bubbles, using advanced mathematical and econometric techniques, is a young field of research. In this context, significant model misspecification could result from ignoring potential non-linearities. More precisely, the present paper attempts to detect and date non-linear bubble episodes. To do so, we use Neural Networks to capture the neglected non-linearities. Also, we provide a recursive dating procedure for bubble episodes. When using data on stock price-dividend ratio S&P500 (1871.1–2014.6), employing Bayesian techniques, the proposed approach identifies more episodes than other bubble tests in the literature, while the common episodes are, in general, found to have a longer duration, which is evidence of an early warning mechanism (EWM) that could have important policy implications.

Networks with a core–periphery topology are found in many financial systems across different jurisdictions. Though the theoretical and structural aspects of core–periphery networks are clear, the consequences that core–periphery structures bring for banking efficiency stand as an open question. We address this gap in the literature by providing insights as to how the structure of financial networks can affect bank efficiency. We find that core–periphery structures are cost efficient for banks, which is a characteristic that encourages the participation of banks in financial networks. On the downside, we also show that core–periphery structures are risk-taking inefficient, because they imply higher systemic risk levels in the financial system. In this way, regulators should be aware of the excessive risk inefficiency that arises in the financial system due to individual decisions made by banks in the network.

In light of the recently passed 2010 Dodd–Frank Act, we assess the effect of margin changes on prices, the risk-sharing between speculators and hedgers, and the price stability of 20 commodity futures markets. We find that margin increases decrease the rate at which prices change, yet they impair the risk sharing function and they decrease market liquidity in certain markets. The regulator should set margins by taking the heterogeneity of commodity futures markets into account. Certain effects of margin changes diffuse across related markets though. Our results are robust to endogenously set margins by the exchanges and to alternative ways of measuring market liquidity. Interestingly, the effect of margin changes is more pronounced in commodity futures markets than in major equity and interest rate futures markets.

The paper analyzes the influence of banking stability on the volatility of industrial value added using data for 110 countries. Our results confirm the relevance of lending and asset allocation effects because banking stability reduces the volatility of value added more in industries that have greater external financial dependence and intangible intensity when they are located in countries with more developed financial and institutional systems. Moreover, banking stability helps reduce economic volatility more in countries with less bank market competition. We control for recessions, reverse causality problems, and endogeneity of banking stability.

We analyze the role of federal funds rate volatility in affecting risk premium as measured by various money market spreads during the 2007–2009 financial crisis. We find that volatility in the federal funds market contributed to elevated Overnight Index Swap (OIS) spreads of unsecured bank funding rates during the crisis. Using OIS as a proxy for market expectations, we also decompose London Inter-Bank Offered Rate (Libor) into its permanent and transitory components in a dynamic factor framework and show that increased volatility in the federal funds market contributed to substantial transitory movements of Libor away from its long-run trend during the financial crisis.

There have been increasing concerns about the potential of larger banks acquiring community banks and the declining number of community banks, which would significantly reduce small business lending (SBL) and disrupt relationship lending. This paper examines the roles and characteristics of U.S. community banks in the past decade, covering the recent economic boom and downturn. We analyze risk characteristics of acquired community banks, compare pre- and post-acquisition performance, and investigate how the acquisitions have affected SBL. Contrary to the concerns, our analysis shows that the overall amount of SBL increases more after a merger when a community bank is acquired by a large bank. Data also suggest an overall (regardless of mergers) declining SBL trend for all bank size groups. In fact, the decline in the SBL ratio, on average, has been more severe among community banks, relative to large banks. Our results indicate that mergers involving community bank targets over the past decade have enhanced the overall safety and soundness of the banking system without adversely impacting SBL.

This paper measures credit risk in prime money market funds (MMFs) and studies how such credit risk evolved during the eurozone crisis of 2011–2012. To accomplish this, we estimate the annualized expected loss on each fund's portfolio. We also calculate by Monte Carlo the cost of insuring a fund against losses amounting to over 50 basis points. We find that credit risk of prime MMFs, though small, doubled from 12 basis points in June 2011 to 23 basis points in December 2011 before receding in 2012. Contrary to common perceptions, this did not primarily reflect funds’ credit exposure to eurozone banks because funds took measures to reduce this exposure. Instead, credit risk in prime MMFs rose because of the deteriorating credit outlook of banks in the Asia/Pacific region. We conclude that the increase in the credit risk of prime MMFs in the second half of 2011 reflected contagion in the worldwide banking system coupled with slowing global economic growth, not actions taken by MMFs.