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Do Hedging and Trading Derivatives Have the Same Impact on Public European Banks' Value and Share Performance?

Author

Listed:
  • Nikita Gomayun

    (National Research University Higher School of Economics)

  • Henry Penikas

    (International Laboratory for of Decision Choice and Analysis; National Research University Higher School of Economics)

  • Yulia Titova

    (student at University Paris 1 Pantheon-Sorbonne)

Abstract

In most cases the ultimate goal of a bank is profit maximization. That depends on what derivatives one uses. Thus the objective of this research is to examine the relationship between a bank’s value and characteristics of derivatives it subscribed to. The financials from 2005 to 2010 of 130 European public banks countries are examined. The study is based on two sets of data: the first one contains the accounting data on balance sheets and the profit and loss accounts from Bankscope from 2005 to 2010, while the second one includes the manually collected data from the notes to the financial statement disclosures. Regression analysis is used to trace the impact of derivative use on bank’s value. Time effects and cross-country differences are controlled for. Two key research implications are as follows. The return on hedging derivatives is positively associated with the growth in bank’s stock returns, whereas trading derivatives’ notional value negatively impacts both Tobin’s q and ROAA, and positively impacts risk of the bank’s stocks.

Suggested Citation

  • Nikita Gomayun & Henry Penikas & Yulia Titova, 2012. "Do Hedging and Trading Derivatives Have the Same Impact on Public European Banks' Value and Share Performance?," HSE Working papers WP BRP 09/FE/2012, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:09/fe/2012
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    derivative; bank; value; hedging; trading; time effect.;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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