Multi-frequency downside risk interconnectedness between soft agricultural commodities
In this article, we explore multiscale extreme risk interdependence between four soft agricultural markets - coffee, cocoa, cotton and orange juice. Wavelet correlation and cross-correlation are used to investigate this interlink, and dynamic conditional Value at Risk is used to measure extreme risk. Wavelet correlation results suggest a very weak connection … celý popis
Uloženo v:
Podrobná bibliografie
- Hlavní autor
- Další autoři
- Typ dokumentu
- Články
- Fyzický popis
- 10 ilustrací
- Publikováno v
- Agricultural Economics. -- ISSN 0139-570X. -- Roč. 69, č. 8 (2023), s. 332-342
- Témata
- Popis jednotky
- 5 grafů, 5 tabulek
- Bibliografie
- Seznam literatury na s. 341-342 (17 záznamů)
:
MARC
LEADER | 00000naa a2200000 i 4500 | ||
---|---|---|---|
001 | czpb000197058 | ||
FMT | A | N | |
LDR | 0 | 0 | |0 0naa a22 i 4500 |
003 | CZ PrUZP | ||
005 | 20230918134811.0 | ||
007 | ta | ||
007 | cr cn ||||| | ||
008 | 230918s2023 xr ad f b 000 0 eng d | ||
040 | |a ABA009 |b cze |e rda | ||
072 | 7 | |a 339.5 |x Zahraniční obchod. Mezinárodní obchod |2 Konspekt |9 4 | |
072 | 7 | |a 658 |x Řízení a správa podniku |2 Konspekt |9 4 | |
080 | |a 658.62 |2 MRF | ||
080 | |a 338.4 |2 MRF | ||
100 | 1 | |a Živkov, Dejan, |u University of Novi Sad, Novi Sad School of Business, Novi Sad, Serbia |4 aut | |
245 | 1 | 0 | |a Multi-frequency downside risk interconnectedness between soft agricultural commodities / |c Dejan Živkov, Boris Kuzman, Jonel Subić |
300 | |b 10 ilustrací | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a bez média |b n |2 rdamedia | ||
338 | |a svazek |b nc |2 rdacarrier | ||
500 | |a 5 grafů, 5 tabulek | ||
504 | |a Seznam literatury na s. 341-342 (17 záznamů) | ||
520 | 3 | 9 | |a In this article, we explore multiscale extreme risk interdependence between four soft agricultural markets - coffee, cocoa, cotton and orange juice. Wavelet correlation and cross-correlation are used to investigate this interlink, and dynamic conditional Value at Risk is used to measure extreme risk. Wavelet correlation results suggest a very weak connection between the markets in the short-term and midterm horizons, which means that investors who operate in the short term or midterm do not have to apply hedging measures against extreme risk. However, the situation is different in the long term, where relatively high correlations are found on the highest wavelet scale in all pairs, except coffee-cocoa. Complementary cross-correlation analysis indicates a lead-lag relationship between the markets. The results are mostly in line with expectations, as bigger markets lead smaller markets. Only in the cases of cocoa-cotton and cocoa-orange juice does the opposite happen. |9 eng |
530 | |a Dostupné též na internetu | ||
546 | |a Anglický text, anglický abstrakt | ||
650 | 0 | 9 | |a WORLD MARKETS |2 agrovoc |
650 | 0 | 9 | |a COMMODITY MARKETS |2 agrovoc |
650 | 0 | 9 | |a INVESTMENT |2 agrovoc |
650 | 0 | 9 | |a Agricultural prices |2 agrovoc |
650 | 0 | 9 | |a PRICE ELASTICITIES |2 agrovoc |
650 | 0 | 9 | |a COFFEE |2 agrovoc |
650 | 0 | 9 | |a COCOA BEANS |2 agrovoc |
650 | 0 | 9 | |a COTTON |2 agrovoc |
650 | 0 | 9 | |a ORANGE JUICE |2 agrovoc |
650 | 0 | 9 | |a risk assessment |2 agrovoc |
650 | 0 | 9 | |a MARKET INFORMATION SERVICES |2 agrovoc |
650 | 0 | 9 | |a TIME SERIES ANALYSIS |2 agrovoc |
653 | 0 | |a vzájemné korelace | |
653 | 0 | |a velikost trhu | |
653 | 0 | |a dynamika cen | |
650 | 0 | 7 | |a světové trhy |2 agrovoc |
650 | 0 | 7 | |a zbožní trhy |2 agrovoc |
650 | 0 | 7 | |a investice |2 agrovoc |
650 | 0 | 7 | |a ceny zemědělských produktů |2 agrovoc |
650 | 0 | 7 | |a cenová elasticita |2 agrovoc |
650 | 0 | 7 | |a káva |2 agrovoc |
650 | 0 | 7 | |a kakaové boby |2 agrovoc |
650 | 0 | 7 | |a bavlna |2 agrovoc |
650 | 0 | 7 | |a pomerančová šťáva |2 agrovoc |
650 | 0 | 7 | |a hodnocení rizika |2 agrovoc |
650 | 0 | 7 | |a tržní informace |2 agrovoc |
650 | 0 | 7 | |a analýza časových řad |2 agrovoc |
700 | 1 | |a Kuzman, Boris, |u Institute of Agricultural Economics, Belgrade, Serbia |4 aut | |
700 | 1 | |a Subić, Jonel, |u Institute of Agricultural Economics, Belgrade, Serbia |4 aut | |
773 | 0 | |t Agricultural Economics |x 0139-570X |g Roč. 69, č. 8 (2023), s. 332-342 |q 69:8 |9 2023 | |
856 | 4 | 1 | |u https://agricecon.agriculturejournals.cz/pdfs/age/2023/08/01.pdf |4 N |9 HTM |
LKR | |a ITM |b 97018 |l UZP50 |y 2023 | ||
910 | |a ABA009 |t rs | ||
CAS | |a a | ||
SIF | |z DN |d 20230918 |