posted on 2015-01-15, 18:17authored byAnthony Carroll
In this study, I empirically examine the determinants of firms’ derivatives
usage. Theory suggests that market exposure, manager-shareholder agency
conflicts, and the threats of financial distress and underinvestment can all motivate
derivatives usage. Most previous studies attempt to test these ‘theories of optimal
derivatives usage’ empirically by regressing some measure of derivatives usage on
a range of accounting proxies for these firm attributes. I use a similar approach in
this study. However, since these theories do not discriminate between different
categories of derivatives - foreign currency (FX), interest rate (IR) and commodity
price (CP) - most previous studies examine either general derivatives usage or only
one of these categories of derivatives. Instead, I separately examine what motivates
firms’ binary (yes/no) decisions to use foreign currency (FX), interest rate (IR) and
commodity price (CP) derivatives. Furthermore, owing to a lack of accessible data,
most previous studies restrict the analysis to the binary usage decision. This study
overcomes that limiation by assembling a unique dataset to examine whether what
motivates firms’ binary usage decisions differs from what motivates the extent of
their derivatives usage. Lastly, recent studies suggest that firms’ derivatives
decisions are codetermined with other corporate financing policies. Hence, I also
examine what motivates two of firms’ capital structure decisions: the level and the
maturity of debt.
Using a sample of 710 large, non-financial, Eurozone firms, I gather two
years of data on firms’ FX, IR and CP notional derivatives usage from annual report
disclosures. Many of the accounting measures, which are traditionally used as
proxies for the firm attributes thought to motivate derivatives usage, are readily
available on databases such as DataStream. However, I also manually gather a
number of customized variables from annual report disclosures to ensure that the
proxies used in this study are as close as possible to the firm attributes they are
intended to represent. I use a Tobit model to model each category of derivatives
usage as a singular decision and compare this to a two-step model similar to
Cragg’s (1971), in which the derivatives decision is modeled as a two-step process:
first, the decision to use and second, the decision of how much to use. In robustness
tests, I attempt to control for sample selection bias using a Heckman (1976, 1979)
model, omitted variables bias using a fixed effects model, and simultaneity bias
using a two stage least squares (2SLS) model.
I find that firms’ FX derivatives decisions are motivated by foreign currency
exposure, economies of scale, and liquidity concerns. On the other hand, their IR
derivatives decisions are motivated by underinvestment and financial distress
costs, with particular emphasis on capital structure. This suggests that the theories
of optimal derivatives usage need to be reimagined to incorporate the different
motivations to use distinct categories of derivatives. I also find that what motivates
a firm’s decision to use derivatives is different from what motivates the extent of its
usage, again suggesting that a possible reconsideration of the theory is needed,
which assumes both decisions are concurrent. With respect to the determinants of
the level and the maturity of firms’ debt, I find further evidence of the strong
linkages between capital structure and derivatives usage, with particular emphasis
on IR derivatives. My findings therefore suggest that no examination of derivatives
usage is complete without recognition of other corporate financing policies.
Funding
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