Financial Markets, Institutions and Instruments最新文献

This paper examines the impact of law firm expertise on bidder and target shareholder wealth gains during mergers and acquisitions. After controlling for endogeneity in the matching between the mandating firm (bidder or target firm) and the law firm, we find that top-tier law firms increase the wealth of bidder shareholders by an average of 2.00% ($30.80 million) to 3.07% ($47.28 million). This does not hold for target firm shareholders. Interestingly, we find no evidence that the reputation of the investment bank is related to bidder or target shareholder wealth gains. Our findings suggest that top-tier lawyers are effective “transaction cost engineers.” They create value for their clients by structuring deals to minimize transaction and regulatory costs.

We document the mechanism through which the risk of fire sales in the sovereign bond market contributed to the effectiveness of two major central bank interventions designed to restore financial stability during the European sovereign debt crisis. As a lender of last resort via the long-term refinancing operations (LTROs), the European Central Bank (ECB) improved the collateral value of sovereign bonds of peripheral countries. This resulted in an elevated concentration of these bonds in the portfolios of domestic banks, increasing fire-sale risk and making both banks and sovereign bonds riskier. In contrast, the ECB's announcement of being a potential buyer of last resort via the Outright Monetary Transaction (OMT) program attracted new investors and reduced fire-sale risk in the sovereign bond market.

This paper examines the impact of the Global Analyst Research Settlement (GS) on the trading behavior of analyst-affiliated institutions. Using firms with securities class actions, I find that analyst-affiliated institutions reduce their stockholdings of sued firms prior to their own analyst downgrades, which supports a front-running hypothesis. This front-running trading behavior of analyst-affiliated institutions diminishes for sanctioned institutions after the GS. However, the informed trading behavior of the analyst-affiliated institutions remains strong for non-sanctioned institutions, implying that the Global Settlement could not impede non-sanctioned institutions from front-running trading activities. This study suggests more regulatory actions are needed to prevent analyst-affiliated institutions’ misconduct.

In the years prior to the onset of the global financial crisis, the sharp credit growth, in a context of optimistic income expectations, boosted by an increase in competition in the banking system, less restrictive lending criteria and favorable financing conditions in international wholesale debt market, led to a marked rise in the debt levels of non-financial corporations. In this paper, we use a panel data regression, with fixed effect estimators, to study how the relationship between bank credit granted to each firm and a set of firm-specific indicators, that measure overall balance sheet performance and riskiness, changed over the 2006–2017 period. The results suggest that, during and after the Portuguese sovereign debt crisis, the sensitivity of the bank credit granted to firms to overall balance sheet strength and riskiness of firms increased, except in the case of leverage, where the sensitivity decreased slightly. Nonetheless, banks on average lent more to lower leveraged firms than to higher leveraged firms throughout the period considered. The results also show that statistical significance slightly reduces with the size of the firm and, when compared with the pre-crisis sub-period, banks did not increase lending to higher leveraged large firms in the crisis and post-crisis sub-periods. Finally, we find that the most capitalized banks were the ones more willing and/or able to support firms, during the crisis, even firms that experienced a deterioration in their indicators.

This paper proposes Entity-Netted Notionals (ENNs) as a metric of interest rate risk transfer in the interest rate swap (IRS) market. Unlike the ubiquitous metric of notional amount, ENNs normalize for risk and account for the netting of longs and shorts within counterparty relationships. Using regulatory data for U.S.-reporting entities, the size of the market measured by notional amount is $231 trillion, but, measured by ENNs, is only $13.9 trillion 5-year swap equivalents, which is the same order of magnitude as other large U.S. fixed income markets. This paper also quantifies the size and direction of IRS positions across and within various business sectors. Among the empirical findings are that 92% of entities using IRS are exclusively long or exclusively short. Hence, the vast majority of market participants are prototypical end users, and the extensive amount of netting in the market is attributable to the activity of relatively few, larger entities. Finally, some sector-specific empirical findings are inconsistent with widespread, prior beliefs. For example, pension funds and insurance companies are typically thought to be long IRS to hedge their long-term liabilities, and these sectors are indeed net long, but approximately 50% of individual entities in these sectors are actually net short.

We investigate whether the inclusion of Cat Bonds in portfolios composed of traditional assets and common factors is beneficial to investors. Various mean-variance spanning tests performed for the period of 2002 to 2017 show that under different market conditions, the addition of Cat Bonds gives rise to previously unattainable portfolios. Using the Engle (2002) Dynamic Conditional Correlation (DCC) model, we find that including Cat bonds increases significantly the time-varying Sharpe ratio and the Choueifaty and Coignard (2008) maximum diversification ratio. Cat Bonds provide needed diversification during critical times particularly during episodes of crisis and of high volatility. Under the second-order stochastic dominance efficiency (SDE) tests, the null hypothesis that portfolios without Cat Bonds are efficient cannot be rejected. Out-of-sample analyses indicate that the performance of portfolios with Cat Bonds included varies depending on the performance measures employed, the portfolio construction techniques used and the assets or factors considered.

Public employee pension systems around the world show remarkable diversity in design and execution. Among these, the U.S. defined benefit public pension system has drawn increased attention because of questions about the long-term sustainability of many of the underlying pension funds – as well as concerns of equity between pension plan members, retirees, taxpayers, bondholders, and users of public services. The Covid-19 pandemic introduced new fissures in state and local government finances, heightening the need to bolster long-term public pension fund robustness. As an alternative model, the Canadian public pension system is widely respected. This was not foreordained. The authors trace difficult decisions undertaken in Canada in the 1980s and 1990s along with essential descriptive features of the Canadian Model. Using a novel primary dataset, the authors benchmark the 25 largest U.S. plans against their ten largest Canadian peers, exploring key issues in a paired analysis. The authors extract fundamental lessons from the Canadian experience, proposing a roadmap for reform of the U.S. public pension system. They argue that long-term pension sustainability, once politically prioritized, must be built on equity and discipline in plan design, funding, and amortization of existing deficits. They emphasize the importance of legal framework, particularly joint sponsorship, alongside enhanced governance and unified legislation. They also draw lessons from the Canadian experience with respect to enhanced investment organizations and investment strategies.

Considering environmental, social, and governance (ESG) factors becomes increasingly important for companies and investors. However, “ESG” is not clearly defined so far and, therefore, it is difficult to measure the ESG activity of companies. We analyze the extent and changes in 10-K reports and proxy statements on ESG, using a textual analysis and creating an ESG dictionary. The results show an average of 4.0 % ESG words on total words in the reports. The ESG word list with 482 items can be used to quantitatively examine the extent of ESG reporting, which will be helpful especially for SRI investors. Our classification of 40 subcategories allows a highly granular analysis of different ESG related aspects. Moreover, indications for a relation between changes in reporting and real events, especially negative media presence, are detected. Regulatory bodies have to be aware of the use of such words and how they are used.

Using an extensive global sample, this paper investigates the impact of the term structure of interest rates on bank equity returns. Decomposing the yield curve to its three constituents (level, slope and curvature), the paper evaluates the time-varying sensitivity of the bank's equity returns to these constituents by using a diagonal dynamic conditional correlation multivariate GARCH framework. Evidence reveals that the empirical proxies for the three factors explain the variations in equity returns above and beyond the market-wide effect. More specifically, shocks to the long-term (level) and short-term (slope) factors have a statistically significant impact on equity returns, while those on the medium-term (curvature) factor are less clear-cut. Bank size plays an important role in the sense that exposures are higher for SIFIs and large banks compared to medium and small banks. Moreover, banks exhibit greater sensitivities to all risk factors during the crisis and post-crisis periods compared to the pre-crisis period; though these sensitivities do not differ for market-oriented and bank-oriented financial systems.

This study examines the time-varying performance of investment strategies following analyst recommendation revisions in the UK stock market, with specific emphasis on the impact of changing market conditions. We find a negative relationship between the recommendation performance and market conditions as measured in terms of past market return and market volatility. In particular, the upgrade (downgrade) portfolio generates significantly positive (negative) net abnormal returns in bad market conditions (e.g., the dot-com bubble burst in 2000 and the credit crisis in 2007), but not in other periods of time. Moreover, our non-temporal threshold regression analysis shows that the reported negative relationship disappears when market conditions become better, i.e., when the past market return (market volatility) is higher (lower) than a certain level, indicating the importance of taking non-linearity into account in the long sample period as examined in this study. Our time-series bootstrap simulations further confirm that the superior recommendation performance in bad market conditions is not due to random chance; analysts have certain skills in making valuable up/downward revisions in bad markets.