The existence and persistence of household financial hardship: A Bayesian multivariate dynamic logit framework

We investigate the existence and persistence of financial hardship at the household level using data from the British Household Panel Survey. Our modelling strategy makes three important contributions to the existing literature on household finances. Firstly, we model nine different types of household financial problems within a joint framework, allowing for correlation in the random effects across the nine equations. Secondly, we develop a dynamic framework in order to model the persistence of financial problems over time by extending our multi-equation framework to allow the presence or otherwise of different types of financial problems in the previous time period to influence the probability that the household currently experiences such problems. Our third contribution relates to the possibility that experiencing financial problems may be correlated with sample attrition. We model missing observations in the panel in order to allow for such attrition. Our modelling framework allows us to identify any persistence in financial problems over time as well as any interdependence that may exist between different types of financial problems. Our findings reveal interesting variations in the determinants of experiencing different types of financial problems including demographic and regional differences. Our findings also highlight persistence in experiencing financial problems over time as well as the role that saving on a regular basis can play in mitigating current financial problems.     

Demographics and asset returns: does the dynamics of population ageing matter?

The empirical connection between the population age-structure and financial asset returns has been so far investigated with special focus on the US, whereby weak or disparate results are obtained. This paper aims to assess whether this connection is affected by the demographic dynamics. To this end the analysis is based on a stylized overlapping generation model and on the empirical investigation for Italy, which is experiencing one of the most pronounced ageing in the world and, specifically, steeper than the US one. Following the approach used for the US, stock returns and Government bond yields are regressed over demographic and/or control variables using annual data over 1958–2004. Results for Italy are more clear-cut and thus support the importance of the country-specific age-dynamics in explaining the impact of demographics on financial markets.     

Determinants of Financial Distress Costs

This paper provides international evidence on financial distress costs. To achieve this aim, we have developed a model where financial distress costs are determined, on the one hand, by making use of a more accurate indicator of the probability of financial distress and, on the other, by a set of variables that, according to financial theory, explain the magnitude of the costs borne by a firm in the case of financial distress. Our results reveal the relevance of our improved indicator of the probability of financial distress, since it positively affects financial distress costs in all the countries analyzed. Furthermore, since our model controls for the probability of financial distress, we can test the trade-off between the benefits and costs of debt. This allows us to verify that the benefits debt outweigh the costs. Our results also indicate that distress costs are negatively related to liquid assets; hence, their benefits more than offset their opportunity costs.     

The effect of foreign currency hedging on the probability of financial distress

This paper investigates the effect of foreign currency hedging with derivatives on the probability of financial distress. I use Merton’s (1974) structural default model to compute firms’ distance to default as a proxy for their probability of financial distress. Using an instrumental variables approach to control for endogenous hedging and leverage, I find that the extent of foreign currency hedging is associated with a lower probability of financial distress. Whereas previous research finds that the probability of financial distress is a determinant of a firm’s hedging policy, this paper provides direct evidence supporting the hypothesis that the extent of hedging reduces a firm’s probability of financial distress.     

The protective role of saving: Bayesian analysis of British panel data

We explore whether a protective role for savings against future financial hardship exists using household level panel data for a nationally representative sample of UK households. We jointly model the incidence and extent of financial problems, using a dynamic two-part approach allowing different data-generating processes for experiencing financial hardship and the extent of financial hardship experienced. Our results show that: (i) saving on a regular basis mitigates against the likelihood of experiencing, as well as the number of, future financial problems; (ii) state dependence in financial problems exists; (iii) interdependence exists between financial problems and housing costs, with higher housing costs associated with an increased probability of experiencing financial hardship.     

Monetary policy and financial (in)stability: An integrated micro–macro approach

Evidence on central banks’ twin objective, monetary and financial stability, is scarce. We suggest an integrated micro–macro approach with two core virtues. First, we measure financial stability directly at the bank level as the probability of distress. Second, we integrate a microeconomic hazard model for bank distress and a standard macroeconomic model. The advantage of this approach is to incorporate micro information, to allow for non-linearities and to permit general feedback effects between financial distress and the real economy. We base the analysis on German bank and macro data between 1995 and 2004. Our results confirm the existence of a trade-off between monetary and financial stability. An unexpected tightening of monetary policy increases the probability of distress. This effect disappears when neglecting microeffects and non-linearities, underlining their importance. Distress responses are largest for small cooperative banks, weak distress events, and at times when capitalization is low. An important policy implication is that the separation of financial supervision and monetary policy requires close collaboration among members in the European System of Central Banks and national bank supervisors.     

Financial Distress in Australian General Insurers

We develop and test a statistical model to identify Australian general insurers experiencing financial distress over the 1999–2001 period. Using a logit model and two measures of financial distress we are able to predict, with reasonable confidence, the insurers more likely to be distressed. They are generally small and have low return on assets and cession ratios. Relative to holdings of liquid assets they have high levels of property and reinsurance assets, and low levels of equity holdings. They also write more overseas business, and less motor insurance and long‐tailed insurance lines, relative to fire and household insurance.     

An Analysis of the Underreported Magnitude of the Total Indirect Costs of Financial Distress

In this paper we examine 1,041 ongoing firms over the time period 1982–92. Using quarterly data for the detection and measurement of the magnitude of the indirect costs of financial distress, we find three important explanatory factors: (a) the distinctiveness of the pattern of increasing financial distress over time, (b) the degree of leverage in the capital structure and (c) the size of the firm. For those firms with a distinctive pattern of increasing financial distress over time, the average annual losses as a percentage of market value is –10.3%. The maximum loss is –76%. Even if the firm never fails, its market value can be severely impacted by the presence of the indirect costs of bankruptcy over time. This study finds a significantly positive relationship between Altman's Z-score and the firm capital investment growth rate. This relation holds after controlling for other variables such as leverage, firm size and market/book ratio. This implies that lost investment opportunities may be also an important part of the total indirect costs of financial distress, which appear now to be much larger than previously recorded.     

Reputation, renegotiation, and the choice between bank loans and publicly traded debt

We model firms' choice between bank loans and publicly tradeddebt, allowing for debt renegotiation in the event of financialdistress. Entrepreneurs, with private information about theirprobability of financial distress, borrow from banks (multiperiodplayers) or issue bonds to implement projects. If a firm isin financial distress, lenders devote a certain amount of resources(unobservable to entrepreneurs) to evaluate whether to liquidatethe firm or to renegotiate its debt. We demonstrate that banks'desire to acquire a reputation for making the 'right' renegotiationversus liquidation decision provides them an endogenous incentiveto devote a larger amount of resources than bondholders towardsuch evaluations. In equilibrium, bank loans dominate bondsfrom the point of view of minimizing inefficient liquidation,.however, firms with a lower probability of financial distresschoose bonds over bank loans.     

The impact of target firm financial distress in Australian takeovers

Of the motives that have been advanced to explain corporate acquisitions, the least explored is the acquisition of a target experiencing financial distress. This study addresses this void by examining whether target firm financial distress is related to takeover: attitude, premiums, payment method, competition and outcome. Despite inconsistent findings across our distress measures the tenor of the results suggest that distressed targets receive higher premiums and are less likely to be offered cash consideration. Additionally, takeover completion is lower and takeover competition higher for targets in financial distress. Financial distress does not influence whether a takeover is hostile or friendly.     

Economic value,competition and financial distress in the European banking system

In this paper we examine the impact of a large number of factors at the bank level (liquidity and credit risks, asset size, income diversification and market power), at the industry level (banking concentration) and macro-level (real GDP growth) on bank financial distress using an unbalanced panel of 308 European commercial banks between 1996 and 2009. The observations falling below a given threshold of the empirical distribution of the Shareholder Value Ratio proxy bank financial distress. We employ a panel probit regression and, given the presence of overlapping data giving rise to residual autocorrelation, we use the Bertschek and Lechner (1998) robust estimator of the covariance matrix of parameters. We show that credit risk, liquidity risk and bank market power are the most influential determinants of distressed Shareholder Value Ratio. Finally we evaluate the model out-sample forecasting performance over the 2008–2009 crisis period.     

An Empirical Investigation of Firm Longevity: A Model of the Ex Ante Predictors of Financial Distress

Empirical models of a potential failure process that incorporate distress states between the extremes of corporate health and bankruptcy are uncommon. We depict financial distress as a series of financial events that reflect varied stages of corporate adversity. Our intent is to provide information regarding the influence of certain risk dimensions and firm-specific attributes on distressed firm survival over time. Within a theorized distress framework, we utilize the techniques of survival analysis to longitudinally track firms, grouped a priori according to an initial decline in operating cash flows. We find that the event of default has a significant positive association with business failure. Further, we document that the significant accounting covariates tend to change conditional on a firm having progressed through the diverse stages of distress. These findings accentuate the heterogeneous nature of financial distress and potential business failure.     

Contingent convertibles. Solving or seeding the next banking crisis?

A recent proposal to enhance banking stability recommends the use of contingent convertibles (CoCos). Since these hybrid securities are mandatorily converted into equity when banks are in need of a recapitalization, they are credited for reducing banks’ likelihood of financial distress. In this paper, we show within a continuous-time framework that this allegedly beneficial impact hinges critically on the assumption of complete contracts. If contracts are incomplete in the sense that manager-owners enjoy discretion over the risk of the investment program, our analysis shows that CoCo bonds always distort risk taking incentives. Our main contribution is to demonstrate that there exist conditions under which CoCo bond financing increases investors’ wealth, but also increases the bank’s probability of financial distress, so that the banking system as a whole will be destabilized. Thus, individually rational decisions can have systemically undesirable outcomes. Further results indicate that CoCos should be used only in conjunction with devices to control risk shifting incentives.     

Labor Market and Financial Shocks: A Time-Varying Analysis

We estimate a time-varying VAR model to analyze the effects of a financial shock on the U.S. labor market. We find that a tightening of financial conditions is highly detrimental to the labor market. We show that while negative financial shocks have been responsible for increases in unemployment, our model does not find significant contributions of financial shocks during periods of expansion. The source of this asymmetry is the time-varying standard deviation of the identified shock, which is higher in times of financial distress; on the other hand, we find that the transmission mechanism does not significantly change over time.     

Predicting Corporate Financial Distress: A Time-Series CUSUM Methodology

The ability to predict corporate financial distress can be strengthened using models that account for serial correlation in the data, incorporate information from more than one period and include stationary explanatory variables. This paper develops a stationary financial distress model for AMEX and NYSE manufacturing and retailing firms based on the statistical methodology of time-series Cumulative Sums (CUSUM). The model has the ability to distinguish between changes in the financial variables of a firm that are the result of serial correlation and changes that are the result of permanent shifts in the mean structure of the variables due to financial distress. Tests performed show that the model is robust over time and outperforms similar models based on the popular statistical methods of Linear Discriminant Analysis and Logit.     

An Empirical Analysis of the Effect of Financial Distress on Trade Credit

This paper studies the use of supplier's trade credit by firms in financial distress. Trade credit represents a large portion of firms’ short‐term financing and plays an important role in financial distress. We find that firms in financial distress use a significantly larger amount of trade credit to substitute for alternative sources of financing. Firms that are smaller, with less market power, and with more unique products tend to use more trade credit financing when in distress. We also find that firms that significantly increase their trade payables when in financial distress, experience an additional drop of at least 11% in sales and profitability growth over the previously documented 21% average drop for financially troubled firms.     

Foreign Exchange Exposure Elasticity and Financial Distress

Financially distressed firms have limited ability to manage exchange rate exposure over time which could cause their fundamental value to be sensitive to the cash flow volatility related to currency movements. Accordingly, we hypothesize that the likelihood and costs of financial distress help explain cross‐sectional variations in return sensitivity to currency movements. We find that the level of exchange rate exposure elasticity is related to proxies for the likelihood of financial distress, growth opportunities, and product uniqueness. Further, firms with a greater likelihood and higher costs of financial distress exhibit greater abnormal returns in response to large exchange rate shocks.     

The Relationship between Changes in Fixed Plant Investment and the Likelihood of Emergence from Corporate Financial Distress

Companies experiencing financial distress can attempt to mitigate financial distress through changing the investment in the fixed asset base. Management may choose to expand the asset base in hopes of increasing sales. Alternatively, management may choose to contract the asset base in order to eliminate and/or reduce investment in unprofitable or risky ventures, improve liquidity, reduce earnings volatility, and reduce the need for operating capital.In this study, we examined how observed changes in the investment base affect the likelihood of emergence from a financially distressed condition. We find that, when management chooses to contract the investment in property, plant, and equipment, the likelihood of emergence from financial distress is significantly improved. On the other hand, when management chooses to expand property, plant, and equipment in the face of distress, the distress is only intensified. Our explanation is that companies that choose to contract their fixed asset base in times of trouble are taking steps that will most likely improve their financial condition—they are less likely to need working capital, and can better tolerate increased levels of long-term debt. Conversely, increasing the fixed asset base amplifies the need for working capital, and borrowing money to facilitate the expansion simply increases the necessary uses of that working capital because the debt must be serviced. As a result, companies descend even deeper into financial distress and decrease the likelihood that they will emerge therefrom.     

May board committees reduce the probability of financial distress? A survival analysis on Italian listed companies

The aim of this research was to study the effect of the composition and functioning of board committees on firms' financial distress. Exponential, Weibull and Cox regression models were used to conduct a survival analysis on a sample of 273 Italian listed companies for the period 2004–2017, which indicated that the presence of non-executive members on remuneration and audit committees, and remuneration committees meeting more frequently may enhance firms' stability. In contrast, a high frequency of nomination committee meetings seems to be positively related to the probability of financial distress.Although we only partially controlled for endogeneity issues, our findings contribute to the literature on financial distress-prediction models by deepening the importance of the composition and functioning of board committees (beyond other corporate governance variables and financial ratios). We can also provide firms with practical suggestions to promote financial stability.     

A Theory of Bank Capital

Banks can create liquidity precisely because deposits are fragile and prone to runs. Increased uncertainty makes deposits excessively fragile, creating a role for outside bank capital. Greater bank capital reduces the probability of financial distress but also reduces liquidity creation. The quantity of capital influences the amount that banks can induce borrowers to pay. Optimal bank capital structure trades off effects on liquidity creation, costs of bank distress, and the ability to force borrower repayment. The model explains the decline in bank capital over the last two centuries. It identifies overlooked consequences of having regulatory capital requirements and deposit insurance.