Price Volatility in the Commodity Market and the Bank’s Risk

Price volatility in raw material markets significantly affects the efficiency of real economy. Raw materials are not only used in the industry but are also very popular in periods of economic downturn. An appropriate prognosis of price volatility in these markets and their adequate security ensure...

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Main Author: Bogdan Włodarczyk
Format: Article
Language:English
Published: Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego 2017-04-01
Series:Problemy Zarządzania
Subjects:
Online Access:https://pz.wz.uw.edu.pl/resources/html/article/details?id=169660
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author Bogdan Włodarczyk
author_facet Bogdan Włodarczyk
author_sort Bogdan Włodarczyk
collection DOAJ
description Price volatility in raw material markets significantly affects the efficiency of real economy. Raw materials are not only used in the industry but are also very popular in periods of economic downturn. An appropriate prognosis of price volatility in these markets and their adequate security ensured by means of financial instruments can be a basis for avoiding many financial perturbations of enterprises, and consequently of financial institutions. Financial institutions, including banks, are exposed to credit and market risk, through the absorption of a part of market risk in a direct (investments in raw materials, transaction services) and indirect way (providing credit to entities in commodity markets). Selection of these prognosis tools as well as appropriate instruments securing prices, hence hedging the risk from the financial market, are elements of the risk hedging policy in the real sphere, which has an effect on the credit risk and investment. The aim of the article is the bank’s risk assessment in the context of price volatility in commodity markets. At the same time, the research problem was raised that refers to the way in which the variability of prices and rates of return in the commodity market is reflected in the level of the bank’s risk. An analysis of the asymmetry effect and long memory in the modelling and prognosis of conditional volatility and market risk on the commodity market was conducted in the article, taking petroleum as an example. GARCH and FIAPARCH models were used for that purpose. The analysis of the in-sample and out-of-sample prognosis showed that the variation of rates of return for oil is better described by a non-linear model of the variation using a long memory and asymmetry effect.
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spelling doaj.art-289eb1e5b1e045058fdae5f672acc92b2022-12-22T03:30:23ZengWydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu WarszawskiegoProblemy Zarządzania1644-95842300-87922017-04-01151(66) t.2107124DOI:10.7172/1644-9584.66.7Price Volatility in the Commodity Market and the Bank’s RiskBogdan Włodarczyk0Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Nauk Ekonomicznych, Katedra MakroekonomiiPrice volatility in raw material markets significantly affects the efficiency of real economy. Raw materials are not only used in the industry but are also very popular in periods of economic downturn. An appropriate prognosis of price volatility in these markets and their adequate security ensured by means of financial instruments can be a basis for avoiding many financial perturbations of enterprises, and consequently of financial institutions. Financial institutions, including banks, are exposed to credit and market risk, through the absorption of a part of market risk in a direct (investments in raw materials, transaction services) and indirect way (providing credit to entities in commodity markets). Selection of these prognosis tools as well as appropriate instruments securing prices, hence hedging the risk from the financial market, are elements of the risk hedging policy in the real sphere, which has an effect on the credit risk and investment. The aim of the article is the bank’s risk assessment in the context of price volatility in commodity markets. At the same time, the research problem was raised that refers to the way in which the variability of prices and rates of return in the commodity market is reflected in the level of the bank’s risk. An analysis of the asymmetry effect and long memory in the modelling and prognosis of conditional volatility and market risk on the commodity market was conducted in the article, taking petroleum as an example. GARCH and FIAPARCH models were used for that purpose. The analysis of the in-sample and out-of-sample prognosis showed that the variation of rates of return for oil is better described by a non-linear model of the variation using a long memory and asymmetry effect.https://pz.wz.uw.edu.pl/resources/html/article/details?id=169660credit riskmarket riskraw materialspetroleumgarchvar
spellingShingle Bogdan Włodarczyk
Price Volatility in the Commodity Market and the Bank’s Risk
Problemy Zarządzania
credit risk
market risk
raw materials
petroleum
garch
var
title Price Volatility in the Commodity Market and the Bank’s Risk
title_full Price Volatility in the Commodity Market and the Bank’s Risk
title_fullStr Price Volatility in the Commodity Market and the Bank’s Risk
title_full_unstemmed Price Volatility in the Commodity Market and the Bank’s Risk
title_short Price Volatility in the Commodity Market and the Bank’s Risk
title_sort price volatility in the commodity market and the bank s risk
topic credit risk
market risk
raw materials
petroleum
garch
var
url https://pz.wz.uw.edu.pl/resources/html/article/details?id=169660
work_keys_str_mv AT bogdanwłodarczyk pricevolatilityinthecommoditymarketandthebanksrisk