Working Capital Management,the Credit Crisis,and Hedging Strategies: Canadian Evidence

This study uses a sample of Canadian natural resource firms during the global financial crisis (GFC) of 2007–2008 to examine the influence of firm hedging strategies on their working capital management. Our evidence implies that increased cash holdings and derivatives are alternative ways of hedging risk, and also provides another perspective on the U.S. “trapped cash” controversy as our sample firms are not R&D intensive and do not face the same tax regime as U.S. multinationals.     

Hedging to market-wide shocks and competitive selection

This paper examines hedging against a large market-wide shock in a model with heterogeneous firms and sunk costs of entry. If hedging is voluntary only the most efficient firms hedge against this shock, a finding in line with empirical evidence but at odds with standard motivations for risk management. Hedging affects the critical level of the marginal cost needed to operate in the market. A setting with mandatory hedging is associated with stronger competition than when hedging is voluntary which, in turn, is associated with stronger competition than when hedging is unavailable.     

Corporate risk management and asymmetric information

We discuss the effect of information on corporate risk management decisions when the information is asymmetric between the insider and the market. We suggest an explanation for previous contradiction between existing theories and empirical findings, which state that fewer small firms choose to hedge. We consider two different scenarios of information revelation to the market, and find hedging cost is not the main reason preventing firms from hedging. Rather asymmetric information plays the decisive role in a firm's risk management policy. One of the empirical implications we find is that cash flows with high variances may discourage firms from hedging even when they face high financial distress costs.     

Optimal Hedging Strategies and Interactions between Firms

This paper studies corporate risk management in a context of financial constraints and imperfect competition in the product market. The paper shows that interactions between firms affect their hedging strategies. As a general rule, firms’ hedging demands decrease with the correlation between their internal funds and investment opportunities. Moreover, when a firm’s hedging demand is high in the case where investments are strategic substitutes, its hedging demand is low in the case where investments are strategic complements and vice versa.     

DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications

We propose a new mathematical model for efficiency analysis, which combines DEA methodology with an old idea—Ratio Analysis. Our model, called DEA-R, treats all possible ratios “output/input” as outputs within the standard DEA model. Although DEA and DEA-R generate different summary measures for efficiency, the two measures are comparable. Our mathematical and empirical comparisons establish the validity of DEA-R model in its own right. The key advantage of DEA-R over DEA is that it allows effective integration of the model with experts’ opinions via flexible restrictive conditions on individual “output/input” pairs.     

Translation Exposure Hedging Post SFAS No. 52

Translation exposure hedging is frequently said to have begun after firms adopted SFAS No. 8 and assumed to have ceased–or at least decreased–after adoption of SFAS No. 52 due to different treatments of translation gains (losses). Based on proprietary data, this study presents evidence from a small sample of firms which would be predicted to cease hedging translation exposure, but of which the majority did not.
The study focuses on eighteen firms which exclude at least 50% and up to 100% of the translation gains (losses) from the income statement after adopting SFAS No. 52. Of those eighteen firms, only seven ceased hedging. The other eleven firms not only continued hedging translation exposure, but hedged translation exposure of only those subsidiaries whose translation gains (losses) are now excluded from the income statement.
Characteristics which might explain the different decision are investigated: proportion of assets which are nonmonetary; the proportion of net assets located abroad; the geographic dispersion of subsidiaries; and the estimated effect on the balance sheet and income statement of changing from the temporal method to the current rate method of translation.
Univariate test results indicate that the geographic dispersion of die foreign subsidiaries as well as the proportion of net assets located abroad differ significantly between firms which ceased hedging and those which continued hedging after adopting the standard. Weak evidence of differential effects of the change to the current rate method on individual firm income statements and of different composition of assets between the two groups also was found. Multivariate analysis, using a linear probability model as well as a randomization procedure, provided weak results corroborating the significance of the proportion of net foreign assets to consolidated assets in differentiating between firms which ceased hedging and those which continued.     

Cash Position, Credit Risk and Hedging

In choosing between forward and spot hedging, cash constrained and/or high credit risk firms are more likely to hedge foreign currency transactions forward than firms of greater quality. This arises because the cost of the levered component of a spot hedge is greater than the cost of the unlevered component and this premium increases with higher credit risk. For given cash and credit characteristics, importers are more (less) likely to hedge forward than exporters if transactions costs in the home security market are less (more) than the corresponding costs in the foreign security market.     

The Introduction of the Euro and Derivative Use in French Firms

In January 1999 several European countries adopted a common currency, the “euro”. This important economic event provided an opportunity to examine the determinants of risk management in an environment where exposure to foreign exchange (FX) risk was considerably reduced. For a sample of French firms we found the decline in the use of FX derivatives was greater for firms with substantial sales within the euro zone and less for firms in industries that still had significant imports from outside the euro zone. The focus on derivatives adds to existing research, as it is a more explicit indicator of a reduction in the resources devoted to hedging. The reduction in hedging was not in direct proportion to the reduction in FX exposure, implying that euro risk was hedged more intensely than French franc risk in the sample of French firms over the chosen years.     

The impact of lead time on capital investments

We study equilibrium investment strategies of firms competing in stochastic dynamic market settings and facing two types of investment structures: investment with significant lead time (or time-to-build) and investment without (or minor) lead time. We investigate how investment behavior changes when investment is subject to time-to-build versus when it is not. We characterize equilibrium investment strategies under several information structures and compare results to the social optimum. We offer some new results. The model predicts that, controlling for demand, and production and investment costs, investments and outputs can be higher in progressive industries (which often exhibit time-to-build) than in fast-paced industries (where time-to-build is insignificant). Furthermore, for both investment types (investment with or without time-to-build) we offer a novel equilibrium in which firms incrementally invest. This behavior is driven by demand uncertainty and capacity constraints. Also, expected outputs are lower than Cournot outputs as firms face uncertainty. Moreover, the amount of uncertainty has different effects over investment types.     

Identifying bank outputs and inputs with a directional technology distance function

The bank efficiency literature lacks an agreed definition of bank outputs and inputs. This is problematic given the long-standing controversy concerning the status of deposits, but also because bank efficiency estimates are known to be affected by the inclusion of additional outputs such as non-traditional (fee-based) activities or risk measures. This paper proposes a data-driven identification of bank outputs and inputs using the directional technology distance function. While previous applications of this tool used symmetric expansion or contraction directions, we focus on a set of orthogonal directions, each corresponding to an assumption on the input/output status of an individual variable. These directions correspond to a set of different specifications, whose estimated coefficients can be used to determine the input or output status of all variables except the regressand. Our empirical analysis revealed a very consistent pattern across the alternative specifications estimated. There is strong evidence that customer deposits are an input, and that non-performing loans are an important undesirable output. Finally, the orthogonal expansions/contractions we consider avoid the simultaneity problem raised by the “convenient normalization” commonly used to impose linear homogeneity in stochastic frontier estimation.     

Spatial distribution of economic activities: a network approach

The aim of this paper is to analyse co-location patterns of manufactures and service industries at a microgeographic level using Spanish data from the Mercantile Register. Our approach allows us to analyse joint-location and co-location patterns of firms in different industries, and to overcome previous technical constraints in this type of analyses, partially thanks to using homogeneous cells instead of administrative units. This paper contributes to the empirical literature on industry location by developing a multisectorial co-location index computed by comparing differences between observed data about firms’ location and randomly generated data. Multisectorial relationships are analyzed by transposing bilateral relations onto an n-dimensional space. Our results show that dispersed industries tend to locate jointly and that industries with lower joint-location patterns have spatial structures similar to those obtained through input–output relationships, suggesting weak role of co-location patterns as interindustry linkages are not the main location determinants.

     

Hedging Foreign Exchange Exposure: Risk Reduction from Transaction and Translation Hedging

Using a sample of Swedish firms we investigate the risk reducing effect of foreign exchange exposure hedging. Further, we investigate risk reduction from using different hedging instruments, and particular interest is directed towards the impact of transaction exposure hedges and translation exposure hedges respectively. We find that firms' foreign exchange exposure is increasing with the level of inherent exposure, measured as the difference between revenues and costs denominated in foreign currency, and that it is decreasing with firm size. We find a significant reduction in foreign exchange exposure from the use of financial hedges. The evidence suggests that the usage of foreign denominated debt as well as currency derivatives reduce firms' foreign exchange exposure. Further, we find that transaction exposure hedges significantly reduce exposure, and that translation exposure hedges also reduce exposure. A possible explanation for the latter is that translation exposure approximates the exposed value of future cash flows from operations in foreign subsidiaries (i.e. economic exposure). If so, by hedging translation exposure, economic exposure is reduced.     

Determinants of corporate hedging: A (statistical) meta-analysis

While literature provides several hedging theories, evidence on the corporate incentives to hedge remains ambiguous. We synthesize data of empirical studies via statistical meta-analysis to test different hedging hypotheses. To our knowledge, this constitutes the first application of such a methodology in financial economics. Our results imply that financial distress costs induce firms to hedge. We find weak evidence that the underinvestment problem and the dependence on costly external financing influence hedging behavior. Taxes and agency conflicts do not show explanatory power. Because statistical and narrative reviews yield different outcomes, we see various other application possibilities for meta-analysis in financial economics.     

一个考虑基差收敛性的最适保值比率模型——上期所铜期货卖空保值实证分析

本文针对商品期货市场在基差持续朝一个方向变动的情况下卖空保值风险大、成本高的重大现实问题，基于商品期货的持有成本理论，推导出具有普遍实用价值的考虑基差收敛性的动态最适保值比率模型。然后，综合应用时间序列分析和截面分析方法，在现货价格与到期期间恒定的利率调整基差间构建BV-GARCH模型，并利用BEKK形式的BV-GARCH模型，以上海期货交易所铜期货为实证对象，检验和比较了考虑与未考虑基差收敛性的最适保值比率模型的保值绩效，得出了有意义的具体结论。     

Corporate hedging and input price risk

Input price variability is an important source of risk for corporations that process raw commodities. Models of optimal input hedging are developed in this paper based on the maximization of managerial expected utility. The relationship between hedging strategies and output decisions is examined to assess the impact of the ability to set output prices on futures market participation. As a firm's ability to set output prices diminishes in the short run, input futures positions increase although the optimal hedge ratio may either increase or decrease. For a perfectly competitive firm, however, shifts in output price caused by input price changes provide a natural cash market hedge of input price risk and reduce the firm's optimal input futures position.     

Derivatives Usage in Risk Management by US and German Non-Financial Firms: A Comparative Survey

This paper is a comparative study of the responses to the 1995 Wharton School survey of derivative usage among US non-financial firms and a 1997 companion survey on German non-financial firms. It is not a mere comparison of the results of both studies but a comparative study, drawing a comparable subsample of firms from the US study to match the sample of German firms on both size and industry composition. We find that German firms are more likely to use derivatives than US firms, with 78 percent of German firms using derivatives compared to 57 percent of US firms. Aside from this higher overall usage, the general pattern of usage across industry and size groupings is comparable across the two countries. In both countries, foreign currency derivative usage is most common, followed closely by interest rate derivatives, with commodity derivatives a distant third. In contrast to the similarities, firms in the two countries differ notably on issues such as the primary goal of hedging, their choice of instruments, and the influence of their market view when taking derivative positions. These differences appear to be driven by the greater importance of financial accounting statements in Germany than the US and stricter German corporate policies of control over derivative activities within the firm.     

Is bitcoin a safe haven or a hedging asset? Evidence from China

Based on daily data about Bitcoin and six other major financial assets (stocks, commodity futures (commodities), gold, foreign exchange (FX), monetary assets, and bonds) in China from 2013 to 2017, we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven. Our empirical results show that (i) only the monetary market, i.e., the Shanghai Interbank Offered Rate (SHIIBOR) has a mean spillover effect on Bitcoin and (ii) gold, monetary, and bond markets have volatility spillover effects on Bitcoin, while Bitcoin has a volatility spillover effect only on the gold market. We further find that Bitcoin can be hedged against stocks, bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market. Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin.     

Non-maximizing output behavior for firms with a cost-constrained technology

In many public service industries, firms are constrained by a cost (budget) and characterized by non-maximizing output behavior, due to bureaucratic behavior, for instance. This paper proposes a model based on the assumption that firms with a cost constraint do not maximize service levels due to resource preferences. It derives the exact relationships between services delivered, (shadow) input prices, cost constraints, and optimal input quantities. From these relationships, allocative efficiencies, technical efficiencies, output ray elasticities, and marginal cost can easily be derived.      

The Operational Hedging Properties of Intangible Assets: the Case of Non–voluntary Foreign Asset Selloffs

In this paper we examine the valuation effects and long–term performance of US multinational firms involved in forced transfers of their foreign operating assets during the 1965–88 period. The evidence suggests that the operational hedging ability of the firm to address country risk (nationalization threats) is related to the level of its intangible assets. While it is well known that firms with high levels of intangible assets prefer foreign direct investment, our results show that intangible assets have hidden properties of protection against country risk as well. We document significantly negative abnormal returns only for divesting firms with low levels of intangible assets, but not for firms with high levels of intangible assets. In addition, we show that low (high) growth firms are involved in partial (complete) withdrawals, and show that the long–term economic performance of firms choosing the complete withdrawal strategy is better than those that opt to remain. We argue that management's attempt to maintain economic links in a hostile foreign environment can be attributed in part to the firm's low growth opportunities, performance, and lack of contingent plans to address country risk.