Scholarly record
MEASUREMENT OF FINANCIAL PERFORMANCE UNDER MACROECONOMIC UNCERTAINTY
Abstract
The paper deals with measurement of financial performance of the company, which is conditioned with market and macroeconomic changes. We used financial risk measure Earning-at-Risk that can be applied to non-financial enterprises and it is similarly to Cash-flow-at-Risk method. The methodology of study is based on measurement of dependence between financial performance and market and macroeconomic risk factors. This relation is quantified using multiple regression models. We emphasize respect for assumptions of the method because its breakdown (non-stationarity of time series, influential observations, multicollinearity, heteroskedasticity etc.) leads to biased results. For that reason we applied to modeling several arrangements to ensure the credibility of created models. This study is applied on oil and gas industry, specifically on Austrian OMV Group. We analyse not only whole group together, but also its particular business segments: Exploration & Production, Refining & Marketing and Gas & Power. We quantify dependence of EBIT on following risk factors: spot prices of Brent crude oil, spot prices of European natural gas, base interest rate in Austria, 3-months EURIBOR, 3-months LIBOR on USD, harmonized indices of consumer prices in Austria and exchange rate USD/EUR. We simultaneously analyse also seasonability and auto-regressive trend of EBIT. We find out that most significant risk factor is spot prices of Brent crude oil. We also recognize auto-regressive trend of financial performance. In consequence of created models we performed simulations, which result to probability distribution of EBIT.
Publication Impact Profile
- Captures
- Mendeley - Readers: 3
Publication details
ReferencesPending
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
