Credit lines as monitored liquidity insurance: Theory and evidence

We propose a theory of credit lines provided by banks to firms as a form of monitored liquidity insurance. Bank monitoring and resulting revocations help control illiquidity-seeking behavior of firms insured by credit lines. The cost of credit lines is thus greater for firms with high liquidity risk, which in turn are likely to use cash instead of credit lines. We test this implication for corporate liquidity management by identifying exogenous shocks to liquidity risk of firms in corporate bond and equity markets. Firms experiencing increases in liquidity risk move out of credit lines and into cash holdings.     

Does Monetary Policy Have Asymmetric Effects on Stock Returns?

This paper investigates whether monetary policy has asymmetric effects on stock returns using Markov-switching models. Different measures of a monetary policy stance are adopted. Empirical evidence from monthly returns on the Standard & Poor's 500 price index suggests that monetary policy has larger effects on stock returns in bear markets. Furthermore, it is shown that a contractionary monetary policy leads to a higher probability of switching to the bear-market regime.     

Asymmetric information and price competition in small business lending

This paper examines the relationship between bank lending rates and their cost of funds in New Zealand. Our results show that on average mortgage rates respond more quickly to changes in the cost of funds than base business lending rates. We also find an asymmetry in the initial (short-run) response of banks to changes in funding costs; in particular, our results show banks adjust mortgage rates downwards faster than upwards. The speed to which lending rates revert back to their equilibrium relationship with funding costs varies across the lending markets. We find the adjustment speed is faster when mortgage rates are below equilibrium, whereas it is slower when business lending rates are above long-run levels in relation to funding costs. Our analysis suggests that banks prefer the plain-vanilla type of lending such as mortgages in comparison to small business lending consistent with asymmetric information associated with business loans.     

Managing liquidity: Optimal degree of centralization

Large banking groups face the question of how to optimally allocate and generate liquidity: in a central liquidity hub or in many decentralized branches. We translate this question into a facility location problem under uncertainty. We show that volatility is the key driver behind (de-)centralization. We provide an analytical solution for the 2-branch model and show that a liquidity center can be interpreted as an option on immediate liquidity. Therefore, its value can be interpreted as the price of information, i.e., the price of knowing the exact demand. Furthermore, we derive the threshold above which it is advantageous to open a liquidity center and show that it is a function of the volatility and the characteristic of the bank network. Finally, we discuss the n-branch model for real-world banking groups (10-60 branches) and show that it can be solved with high granularity (100 scenarios) within less than 30 s.     

Financing constraints, irreversibility, and investment dynamics

We develop a model of an industry with many heterogeneous firms that face both financing constraints and irreversibility constraints. We use this model to examine the cyclical behavior of aggregate fixed investment, variable capital investment, and output in the presence of persistent idiosyncratic and aggregate shocks. Our model yields three main results. First, the effect of the irreversibility constraint on fixed capital investment is reinforced by the financing constraint. Second, the effect of the financing constraint on variable capital investment is reinforced by the irreversibility constraint. Finally, the interaction between the two constraints is key for explaining why input inventories and material deliveries of US manufacturing firms are so volatile and procyclical, and also why they are highly asymmetrical over the business cycle.     

Capital reallocation and liquidity

This paper shows that the amount of capital reallocation between firms is procyclical. In contrast, the benefits to capital reallocation appear countercyclical. We measure the amount of reallocation using data on flows of capital across firms and the benefits to capital reallocation using several measures of the cross-sectional dispersion of the productivity of capital. We then study a calibrated model economy where capital reallocation is costly and impute the cost of reallocation. We find that the cost of reallocation needs to be substantially countercyclical to be consistent with the observed joint cyclical properties of reallocation and productivity dispersion.     

In search of the liquidity effect in a modern monetary model

This paper examines the impact of a monetary policy shock in a dynamic stochastic general equilibrium model with sticky prices and financial market frictions. First, we examine the shortcomings of monetary models emphasizing these frictions individually. The model then is specified to limit the response of prices and savings to a current period monetary disturbance. Our results show that this model can account for the following key responses to an expansionary monetary policy shock: a fall in the nominal interest rate; a rise in output, consumption, and investment; and a gradual increase in the price level. Finally, a detailed sensitivity analysis shows the model's results depend on the parameters assigned to critical structural features.     

Money and liquidity in financial markets

We argue that there is a connection between the interbank market for liquidity and the broader financial markets, which has its basis in demand for liquidity by banks. Tightness in the market for liquidity leads banks to engage in what we term “liquidity pull-back,” which involves selling financial assets either by banks directly or by levered investors. Empirical tests on the stock market are supportive. Tighter interbank markets are associated with relatively more volume in more liquid stocks; selling pressure, especially in more liquid stocks; and transitory negative returns. We control for market-wide uncertainty and in the process also contribute to the literature on portfolio rebalancing. Our general point is that money matters in financial markets.     

Identifying the balance sheet and the lending channels of monetary transmission: A loan-level analysis

We make a novel attempt at comparing the strength of the lending and balance sheet channels of monetary transmission. To make this comparison, we use loan-level data to determine how borrower balance sheets and bank liquidity are related to bank lending decisions and how monetary policy can affect these relationships. The key innovation in this paper is the use of loan-level data. This enables us to measure the independent effects of the two channels and directly account for borrower balance sheets and lender liquidity instead of using proxies. Our results show that the balance sheet channel is the main mechanism through which monetary policy shocks are transmitted to the economy and that the lending channel does not play a significant role.     

The Risk Map: A new tool for validating risk models

This paper presents a new method to validate risk models: the Risk Map. This method jointly accounts for the number and the magnitude of extreme losses and graphically summarizes all information about the performance of a risk model. It relies on the concept of a super exception, which is defined as a situation in which the loss exceeds both the standard Value-at-Risk (VaR) and a VaR defined at an extremely low probability. We then formally test whether the sequences of exceptions and super exceptions are rejected by standard model validation tests. We show that the Risk Map can be used to validate market, credit, operational, or systemic risk estimates (VaR, stressed VaR, expected shortfall, and CoVaR) or to assess the performance of the margin system of a clearing house.     

Asymmetric information effects on loan spreads

This paper estimates the cost arising from information asymmetry between the lead bank and members of the lending syndicate. In a lending syndicate, the lead bank retains only a fraction of the loan but acts as the intermediary between the borrower and the syndicate participants. Theory predicts that asymmetric information will cause participants to demand a higher interest rate and that a large loan ownership by the lead bank should reduce this effect. In equilibrium, however, the asymmetric information premium demanded by participants is offset by the diversification premium demanded by the lead. Using shifts in the idiosyncratic credit risk of the lead bank's loan portfolio as an instrument, I measure the asymmetric information effect of the lead's share on the loan spread and find that it accounts for approximately 4% of the total cost of credit.     

Interest rate deregulation: Monetary policy efficacy and rate rigidity

This paper examines the effects of interest rate regulation, and subsequent deregulation, on the efficacy of monetary policy and rigidity of retail bank deposit rates in Hong Kong. Using an error-correction model, we find that interest rate deregulation increases the efficacy of monetary policy by improving the correlation between retail bank deposit rates and market interest rates and increasing the degree of long-term pass-through for retail bank deposit rates. Our study also shows that the adjustments in retail bank deposit rates are asymmetric and rigid upwards during the regulated period, but tend to be rigid downwards during the deregulated period. The spreads between retail bank deposit rates and market rates have also tightened sharply after the removal of interest rate controls.     

Credit crises, money and contractions: An historical view

The relatively infrequent nature of major credit distress events makes an historical approach particularly useful. Using a combination of historical narrative and econometric techniques, we identify major periods of credit distress from 1875 to 2007, examine the extent to which credit distress arises as part of the transmission of monetary policy, and document the subsequent effect on output. Using turning points defined by the Harding-Pagan algorithm, we identify and compare the timing, duration, amplitude and co-movement of cycles in money, credit and output. Regressions show that financial distress events exacerbate business cycle downturns both in the 19th and 20th centuries and that a confluence of such events makes recessions even worse.     

Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics

Understanding if credit risk is driven mostly by idiosyncratic firm characteristics or by systematic factors is an important issue for the assessment of financial stability. By exploring the links between credit risk and macroeconomic developments, we observe that in periods of economic growth there may be some tendency towards excessive risk-taking. Using an extensive dataset with detailed information for more than 30 000 firms, we show that default probabilities are influenced by several firm-specific characteristics. When time-effect controls or macroeconomic variables are also taken into account, the results improve substantially. Hence, though the firms’ financial situation has a central role in explaining default probabilities, macroeconomic conditions are also very important when assessing default probabilities over time.     

Bank-specific shocks and the real economy

Governments often justify interventions into the financial system in the form of bail outs or liquidity assistance with the systemic importance of large banks for the real economy. In this paper, we analyze whether idiosyncratic shocks to loan growth at large banks have effects on real GDP growth. We employ a measure of idiosyncratic shocks which follows Gabaix (forthcoming). He shows that idiosyncratic shocks to large firms have an impact on US GDP growth. In an application to the banking sector, we find evidence that changes in lending by large banks have a significant short-run impact on GDP growth. Episodes of negative loan growth rates and the Eastern European countries in our sample drive these results.     

The interbank market after the financial turmoil: Squeezing liquidity in a “lemons market” or asking liquidity “on tap”

After August 2007 the plumbing system that supplied banks with wholesale funding, the interbank market, failed because toxic assets obstructed the pipes. Banks were forced to squeeze liquidity in a “lemons market” or to ask for liquidity “on tap” from central banks. This paper disentangles the two components of the 3-month Euribor–Eonia swap spread, credit and liquidity risk and then evaluates the decomposition. The main finding is that credit risk increased before the key events of the crisis, while liquidity risk was mainly responsible for the subsequent increases in the Euribor spread and then reacted to the systemic responses of the central banks, especially in October 2008. Moreover, the level of the spread between May 2009 and February 2010 was influenced mainly by credit risk, suggesting that European banks were still in a “lemons market” and relied on liquidity “on tap” even before sovereign debt crisis unfolded in Europe.     

Financial constraints of private firms and bank lending behavior

We investigate whether and how financial constraints of private firms depend on bank lending behavior. Bank lending behavior, especially its scale, scope and timing, is largely driven by bank business models which differ between privately owned and state-owned banks. Using a unique dataset on private small and medium-sized enterprises (SMEs) we find that an increase in relative borrowings from local state-owned banks significantly reduces firms’ financial constraints, while there is no such effect for privately owned banks. Improved credit availability and private information production are the main channels that explain our result. We also show that the lending behavior of local state-owned banks can be sustainable because it is less cyclical and neither leads to more risk taking nor underperformance.     

A stochastic frontier approach to modelling financial constraints in firms: An application to India

We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.     

Pitfalls in backtesting Historical Simulation VaR models

Historical Simulation (HS) and its variant, the Filtered Historical Simulation (FHS), are the most popular Value-at-Risk forecast methods at commercial banks. These forecast methods are traditionally evaluated by means of the unconditional backtest. This paper formally shows that the unconditional backtest is always inconsistent for backtesting HS and FHS models, with a power function that can be even smaller than the nominal level in large samples. Our findings have fundamental implications in the determination of market risk capital requirements, and also explain Monte Carlo and empirical findings in previous studies. We also propose a data-driven weighted backtest with good power properties to evaluate HS and FHS forecasts. A Monte Carlo study and an empirical application with three US stocks confirm our theoretical findings. The empirical application shows that multiplication factors computed under the current regulatory framework are downward biased, as they inherit the inconsistency of the unconditional backtest.