Banks,maturity transformation,and monetary policy

Banks engage in maturity transformation and the term premium compensates them for bearing the associated interest rate risk. Consistent with this view, I show that banks’ net interest margins and term premia have comoved in the United States over the last decades. On monetary policy announcement days, bank equity falls more sharply than nonbank equity following an increase in expected future short-term rates, but also responds more positively if term premia increase. These effects are reflected in bank cash-flows and amplified for banks with a larger maturity mismatch. The results reveal that banks are not immune to interest rate risk.     

Determinants of interest rate swap spreads

This study argues that an interest rate swap, as a non-redundant security, creates surplus which will be shared by swap counterparties to compensate their risks in swaps. This action in turns affects swap spreads. Analyzing the time series impacts of the changes of risks of swap counterparties on swap spreads, we conclude that both lower and higher rating bond spreads have positive impacts on swap spreads. We also derive a risk–spread relation to test if swap counterparties are firms with differential credit ratings. Since the risk allocation between swap counterparties varies over business cycles, hence this factor needs to be controlled. We conclude that (1) similar results hold if the business cycle factor is controlled and (2) swap spreads contain procyclical element and are less cyclical than lower credit rating bond spreads.     

International interest rates and US monetary policy announcements: Evidence from Hong Kong and Singapore

This paper investigates the responses of market interest rates to US monetary policy announcements for the US and two emerging economies, Hong Kong and Singapore which are similar on many respects but have experienced opposite exchange rate regimes in the last twenty years. Our results, based on market expectations extracted from federal fund futures rates, document that FOMC announcements significantly affect the term structure of interest rate in the US and both Asian countries. Further, international interest rate differentials around FOMC meeting dates tend to be negative for short maturities with the impact gradually dissipating as bond maturity increases. Finally, for the case of Singapore, we find that domestic interest rates react to both external and domestic monetary policy announcements with a magnitude that is larger over the full bond maturity spectrum for domestic announcements. These results are robust to time-varying futures risk premia and alternative measures of interest rates expectations.     

A term structure model of interest rates with quadratic volatility

This study proposes a no-arbitrage term structure model that can capture the volatility of interest rates without sacrificing the goodness-of-fit to the cross-section and predictive ability about the level of interest rates. The key feature of the model is the covariance matrix of changes in factors, which is specified as quadratic functions of factors. The quadratic specification can capture intense volatility even with spanned factors, which is not the case for the affine specification. Furthermore, since the quadratic specification guarantees the positive definiteness of the covariance matrix without restricting the sign of factors, it allows for a flexible specification of the physical drift as does the Gaussian term structure model, contributing also to accurate level prediction.     

The management of interest rate risk during the crisis: Evidence from Italian banks

We use a unique dataset to analyze how Italian banking groups managed their exposure to interest rate risk during the recent financial crisis. First of all, we document that on average the interest rate risk exposure – measured by duration gap approach – has been limited and well below the alert level enforced by regulators. Second, our econometric results indicate a relation of substitutability between banks’ on-balance-sheet interest rate risk and their use of interest rate derivatives suggesting that banks used these two instruments to curb their overall interest rate risk exposure in case of an increase in interest rates. Furthermore, we also find robust evidence of a negative correlation between banks’ interest rate risk and liquidity risk.     

The determinants of bank interest rate margins: an international study

This paper studies the determinants of bank net interest margins (NIMs) in six selected European countries and the US during the period 1988–1995 for a sample of 614 banks. We apply the Ho and Saunders model (Ho, T., Saunders, A., 1981. The determinants of bank interest margins: theory and empirical evidence. Journal of Financial and Quantitative Analyses 16, 581–600) to a multicountry setting and decompose bank margins into a regulatory component, a market structure component and a risk premium component. The regulatory components in the form of interest-rate restrictions on deposits, reserve requirements and capital-to-asset ratios have a significant impact on banks NIMs. The empirical results suggest an important policy trade-off between assuring bank solvency—high capital-to-asset ratios—and lowering the cost of financial services to consumers—low NIMs. The more segmented or restricted the banking system—both geographically and by activity—the larger appears to be the monopoly power of existing banks, and the higher their spreads. Macro interest-rate volatility was found to have a significant impact on bank NIMs; this suggests that macro policies consistent with reduced interest-rate volatility could have a positive effect in reducing bank margins.     

The value of convexity: a theoretical and empirical investigation

We explore from a theoretical and an empirical perspective the value of convexity in the US Treasury market. We present a quasi-model-agnostic approach that is rooted in the existence of some affine model capable of recovering with good accuracy the market yield curve and covariance matrix. As we show, at least one such model exists, and this is all we require for our results to hold. We show that, as a consequence, the theoretical ‘value of convexity’ purely depends on observable features of the yield curve, and on statistically determinable yield volatilities. We then address the question of whether the theoretical convexity is indeed correctly reflected in the shape of the yield curve. We present empirical results about the predictive power of a strategy based on the discrepancies between the theoretical and the predicted value of convexity. By looking at 30 years of data, we find that neither the strategy of being systematically long or short convexity (and immunized against ‘level’ and ‘slope’ risk) would have been profitable. However, a conditional strategy that looks at the difference between the ‘implied’ and the statistically estimated value of convexity would have identified extended periods during which the proposed approach would have delivered attractive Sharpe Ratios.     

The macroeconomic relevance of bank and nonbank credit: An exploration of U.S. data

This paper exploits the Financial Accounts of the United States to derive long time series of bank and nonbank credit to different sectors, and to examine the cyclical behavior of these series in relation to (i) the long-term business cycle, (ii) recessions and recoveries, and (iii) systemic financial crises. We find that bank and nonbank credit exhibit different dynamics throughout the business cycle. We also examine the role of bank and nonbank credit in the creation of financial interconnections and illustrate a method to conduct macro-financial stability assessments.     

Determinants of yield spread dynamics: Euro versus US dollar corporate bonds

This paper presents a systematic comparison between the determinants of euro and US dollar yield spread dynamics. The results show that US dollar yield spreads are significantly more affected by changes in the level and the slope of the default-free term structure and the stock market return and volatility. Surprisingly, euro yield spreads are strongly affected by the US (and not the euro) level and slope. This confirms the dominance of US interest rates in the corporate bond markets. Interestingly, I find that liquidity risk is higher for US dollar corporate bonds than euro corporate bonds. For both regions, the effect of changes in the bid-ask spread is mainly significant during periods of high liquidity risk. Finally, the results indicate that the credit cycle as measured by the region-specific default probability significantly increases US yield spreads. This is not the case for euro yield spreads.     

Impact of interest rates on the life insurance market development: Cross-country evidence

Studies have found that interest rates create incentives for insurance firms to focus on financial markets through investments. Using a cross-country context, we conjecture that interest rates affect the life insurance market’s development. Using an initial sample comprising the time series of interest rates and insurance markets’ measures from 34 countries across 1998–2017, we found that the density and penetration of the life insurance market is low in countries with high interest rates. Using another sample of 6,451 observations from insurance firms operating in the same 34 countries, we verified that the financial and operational incomes are equally significant in predicting the net income for life insurance companies that operate in countries with high interest rates. Our study contributes to observations that the lack of governmental control over public expenses impacts interest rates and, thereby, the opportunities for insurers.     

Forecasting the past: the case of US interest rate forecasts

This study evaluates 10-year US government bond yield forecasts and three-month US Treasury bill rate forecasts for the period between October 1989 and December 2004. In total, 136 forecast time series with approximately 13,800 forecast data were scrutinized, making this the most extensive analysis of interest rate forecasts to date. Not one of the forecast time series proved to be unbiased. In the majority of cases, information from the past was not efficiently integrated into the forecasts. The sign accuracy is significantly better than random walk forecasts in only a very few of the forecast time series. The modified Diebold–Mariano test for forecast encompassing reveals that the information content of most of the forecast time series is lower than that of the naïve forecasts, the simple ARIMA models, the implicit forward rates, or average interest rate expectations. The forecasting process is dominated by the present and past market situation.     

Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields

We propose a Nelson–Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on US government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that yield factors and factor volatilities are closely related to macroeconomic state variables as well as the conditional variances thereof.     

数字化转型对审计费用的影响研究——基于企业商誉的中介效应

依据2010—2022年中国A股创业板上市公司数据,运用多元线性回归模型探究数字化转型对审计费用的影响。结果显示,企业数字化转型进程与审计费用的增加呈正相关关系,这一关系在重污染行业尤为显著。进一步分析表明,商誉在企业数字化转型对审计费用的提升过程中具有中介效应。鉴于此,企业应加强精细化审计成本预见性与规划性,全面考虑数字化投资与审计成本之间的平衡,适时调整审计策略与资源配置,监管层需适时调整审计行业规则应对数字化转型。     

人民币存款利率市场化对我国中小上市银行的影响分析

为研究我国中小上市银行在经营能力、盈利能力和利率风险管理能力方面存在的问题,首先预测了存款利率市场化对中小上市银行盈利能力、资产负债管理能力和面临的利率风险的影响,然后收集了11家中小上市银行近8年的面板数据,从存款利率市场化对盈利能力和利率风险的影响两个方面进行了实证分析,最后得出结论：存款利率市场化缩减了存贷利差,增强了中小银行的盈利能力,同时也对其利率风险管理提出了更高要求。     

Interest rate risk of German financial institutions: the impact of level,slope, and curvature of the term structure

We investigate here the sensitivity of the equity values of a large sample of German financial institutions to movements in the term structure of interest rates. While similar approaches rely on a single interest rate factor only, we quantify the exposure to changes in level, slope, and curvature, which are the driving factors of term structure changes. Our main findings are: (i) banks and insurances are exposed to level and curvature changes but only marginally to slope movements; (ii) the interest rate risk exposure depends on the banking sector investigated; (iii) level and curvature changes are priced in the cross-section of stock returns.

Impact of the subprime crisis on bank ratings: The effect of the hardening of rating policies and worsening of solvency

This paper studies the impact of the subprime crisis on the ratings issued by the rating agencies in evaluating the solvency of banks. After ascertaining a significant worsening of ratings after the crisis, the paper hypothesises the possibility that this worsening is due not exclusively to a deterioration in the banks’ credit quality, but also to a change in the behaviour of the rating agencies. The study designs a methodology to separate the observed change in ratings into two multiplicative components: one associated with the deterioration of the banks’ solvency itself and another associated with the change in the agencies’ valuation criteria. The methodology is applied to the Spanish Banking System during the period 2000–2009. The results obtained show that the observed lowering of ratings (10.88%) is explained (75%) by the deterioration in the solvency of the banks, but also (25%) by the hardening of the valuation criteria adopted by the agencies. This shows the procyclical character of ratings.     

Impact of multiple curve dynamics in credit valuation adjustments under collateralization

We present a detailed analysis of interest rate derivatives valuation under credit risk and collateral modeling. We show how the credit and collateral extended valuation framework presented in Pallavicini et al. [Funding valuation adjustment: FVA consistent with CVA, DVA, WWR, collateral, netting and re-hyphotecation, 2011], and the related collateralized valuation measure, can be helpful in defining the key market rates underlying the multiple interest rate curves that characterize current interest rate markets. A key point is that spot Libor rates are to be treated as market primitives rather than being defined by no-arbitrage relationships. We formulate a consistent realistic dynamics for the different rates emerging from our analysis and compare the resulting model performances to simpler models used in the industry. We include the often neglected margin period of risk, showing how this feature may increase the impact of different rates dynamics on valuation. We point out limitations of multiple curve models with deterministic basis considering valuation of particularly sensitive products such as basis swaps. We stress that a proper wrong way risk analysis for such products requires a model with a stochastic basis and we show numerical results confirming this fact.     

Stochastic interest rate modelling using a single or multiple curves: an empirical performance analysis of the Lévy forward price model

In current financial markets negative interest rates have become rather persistent, while in theory it is often common practice to discard such rates as incredible and irrelevant. However, from a risk management perspective, it is crucially important to financial institutions to properly account for this phenomenon in their Asset Liability Management (ALM) studies. In this paper, we develop a coherent framework on how to best incorporate negative interest rates in these studies through a single curve stochastic term structure model and compare it to its multiple curve analogue. It turns out that, from the wide range of available single curve models, especially the Lévy Forward Price model (LFPM) of Eberlein and Özkan [The Lévy LIBOR model. Financ. Stoch., 2005, 9, 327–348] seems appropriate for ALM purposes. This paper describes an optimisation routine for calibrating this LFPM under the risk-neutral measure in both the single and multiple curve framework to the market prices of interest rate caplets with different strike rates, maturities and tenors. In addition, an empirical performance analysis is made of the single and multiple curve LFPM, where we include four deterministic volatility specifications and provide an explicit parametrisation of a piecewise homogeneity restriction with both deterministic and random breakpoints. This comparative analysis indicates that both the single and multiple curve LFPM is best adopted with the Linear-Exponential Volatility (LEV) specification and that deterministic breakpoints should be included, rather than random breakpoints.     

Auditor's Engagement Risk and Audit Fees: The Role of Audit Firm Alumni

Abstract:  This study explores the effect of the association of audit firm alumni with their alma mater on audit prices. The tests indicate that there is a moderate reduction of up to 21% in the level of audit fee when alumni (i.e., former employees) of the incumbent audit firm sit on the client board of directors which is consistent with the engagement risk theory. This suggests that there is an 'alumni effect' in the market for audit services. The findings hold only in the large company segment of the market. The results are robust to different model specifications and alternative samples. The sample comprises all executive and non-executive directors who run the UK quoted companies and are simultaneously ICAEW qualified chartered accountants. The study's implications for the accounting profession and the regulators are also discussed.