2009RePEc: Research Papers in EconomicsOpen access

Exchange rate exposure: A nonparametric approach

Uluc Aysun, Melanie Guldi

Open full text 0 citations

Abstract

The typical conclusion reached when researchers examine exchange rate exposure using a linear model is that only a few firms are exposed. This finding is puzzling since institutional knowledge and basic finance theory points to a larger effect. In this paper, we compare results obtained using a linear approach with those from nonlinear, partially parametric and nonparametric models. Our data consist of nonfinancial firms in five emerging market countries and the US. Among firms that were not found to have a linear exposure, we find that a considerable proportion of these are exposed when nonlinear, partially parametric or nonparametric models are used. The increase in exposure is most striking when a nonparametric model is used. We also find evidence that firms' hedging activities decrease linear exposure but do not affect nonparametric exposure.

Open-access reader

About this research paper

What this paper is about

The typical conclusion reached when researchers examine exchange rate exposure using a linear model is that only a few firms are exposed. This finding is puzzling since institutional knowledge and basic finance theory points to a larger effect. In this paper, we compare results obtained using a linear approach with those from nonlinear, partially parametric and nonparametric models. Our data consist of nonfinancial firms in five emerging market countries and the US. Among firms that were not found to have a linear exposure, we find that a considerable proportion of these are exposed when nonlinear, partially parametric or nonparametric models are used. The increase in exposure is most striking when a nonparametric model is used. We also find evidence that firms' hedging activities decrease linear exposure but do not affect nonparametric exposure.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The typical conclusion reached when researchers examine exchange rate exposure using a linear model is that only a few firms are exposed. This finding is puzzling since institutional knowledge and basic finance theory points to a larger effect. In this paper, we compare results obtained using a linear approach with those from nonlinear, partially parametric and nonparametric models. Our data consist of nonfinancial firms in five emerging market countries and the US. Among firms that were not found to have a linear exposure, we find that a considerable proportion of these are exposed when nonlinear, partially parametric or nonparametric models are used. The increase in exposure is most striking when a nonparametric model is used. We also find evidence that firms' hedging activities decrease linear exposure but do not affect nonparametric exposure.

Key concepts: Nonparametric statistics, Econometrics, Parametric statistics, Exchange rate, Nonlinear system, Linear model, Economics, Parametric model

Related papers

Back to paper searchBrowse research topicsOriginal source
Exchange rate exposure: A nonparametric approach — Research Paper | ScholarLens