Jaghdani, Tinoush Jamali

[["dc.bibliographiccitation.firstpage","15"],["dc.bibliographiccitation.lastpage","28"],["dc.contributor.author","Brümmer, Bernhard"],["dc.contributor.author","Korn, Olaf"],["dc.contributor.author","Schlüßler, Kristina"],["dc.contributor.author","Jaghdani, Tinoush Jamali"],["dc.contributor.author","Saucedo, Alberto"],["dc.contributor.editor","Garrido, Alberto"],["dc.contributor.editor","Brümmer, Bernhard"],["dc.contributor.editor","M’Barek, Robert"],["dc.contributor.editor","Meuwissen, Miranda"],["dc.contributor.editor","Morales-Opazo, Cristian"],["dc.date.accessioned","2018-02-05T14:34:24Z"],["dc.date.available","2018-02-05T14:34:24Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11966"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","Routledge"],["dc.publisher.place","London and New York"],["dc.relation.isbn","978-1-138-93741-3"],["dc.relation.ispartof","Agricultural Markets Instability: Revisiting the Recent Food Crises"],["dc.title","Volatility in the after-crisis period. A literature review of recent empirical research"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Brümmer, Bernhard"],["dc.contributor.author","Korn, Olaf"],["dc.contributor.author","Schlüßler, Kristina"],["dc.contributor.author","Jaghdani, Tinoush Jamali"],["dc.contributor.author","Saucedo, Alberto"],["dc.date.accessioned","2018-02-12T10:48:49Z"],["dc.date.available","2018-02-12T10:48:49Z"],["dc.date.issued","2013"],["dc.description.abstract","Executive summary 1. Price volatility has been a key concern for policy makers and scientists. Agricultural and food price level developments in the 2007/2008 food price crisis have triggered a substantial response in the published literature, although the perceived trend towards higher price volatility can only be robustly confirmed for cereals. 2. Volatility is unobservable and hence needs to be estimated. Since volatility refers to price changes which are unexpected, estimates of price volatility require modelling the price levels, too. Many conceptual choices have to be made in this exercise, with corresponding consequences for the interpretation of the resulting price volatility measure. This is not always as clearly documented as it should ideally be the case. 3. Empirical studies are often based either on futures or on spot prices; studies which look at the price volatility spillovers between the two price series are much less frequent. Price volatility is transmitted quickly between these markets only for sufficiently liquid futures and spot markets. For some policy concerns, the focus should be more on spot markets; for others, futures markets are the relevant scale. 4. Methods for price volatility are under continuous refinement. For agricultural markets, GARCH models are the main working tool. With increasing availability of high frequency trading data, realised volatility measures are used often in analyses for futures markets. 5. Policy measures can exert drastic influence on price volatility patterns. This holds obviously for direct price controls and similar agricultural price policies but also for export and import policies. In recent years, bioenergy policies are adding a new demand component which often is not adjusted in light of price changes, thus adding to price volatility. 6. Fundamental factors on supply and demand side explain a major part of price volatility in the past. They will most likely continue to be the most important factors for new episodes of inflated price volatility. However, the example of investment in agricultural productivity growth makes clear that fundamentals have also a role to play in curbing future price volatility. With sufficient productivity growth, price volatility due to bad harvests could be effectively mitigated. 7. Carry-over stocks normally play an important role for intertemporal price smoothing. If stocks are low (usually measured via stocks-to-use ratios), markets tend to show elevated price volatility in response to new information. Imprecise and vague knowledge about the magnitude of available carry-over stocks exacerbate the situation. 8. Price volatility is usually not affecting a single market but spillovers abound. For agricultural and food prices, input markets and fossil fuel markets are key volatility transmission channels. Among agricultural markets, substitution possibilities determine volatility linkages. Spillovers from other non-agricultural commodity markets are less important. 9. Speculation is seen as a driver of volatility, too. However, the establishment of causal links in this area is extremely challenging. Problems exist in the clear definition of what speculation exactly is (is the farmer who does not make use of a functioning futures market for hedging a speculator?), and how to exactly measure it (are all non-commercial investors in a given futures market speculating?). Furthermore, causality is generally difficult to assess in non-experimental settings. Most of the existing results (e.g., Granger causality type analyses) are merely assessing the predictive power of the history of one price series for the future development of another price series."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12152"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","ULYSSES project, EU 7th Framework Programme"],["dc.relation","ULYSSES"],["dc.title","Volatility in the after crisis period – A literature review of recent empirical research"],["dc.type","working_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","29"],["dc.bibliographiccitation.lastpage","58"],["dc.contributor.author","Brümmer, Bernhard"],["dc.contributor.author","Dönmez, Ayça"],["dc.contributor.author","Jaghdani, Tinoush Jamali"],["dc.contributor.author","Korn, Olaf"],["dc.contributor.author","Magrini, Emiliano"],["dc.contributor.author","Schlüßler, Kristina"],["dc.contributor.editor","Garrido, Alberto"],["dc.contributor.editor","Brümmer, Bernhard"],["dc.contributor.editor","M’Barek, Robert"],["dc.contributor.editor","Meuwissen, Miranda"],["dc.contributor.editor","Morales-Opazo, Cristian"],["dc.date.accessioned","2018-02-05T15:01:20Z"],["dc.date.available","2018-02-05T15:01:20Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11967"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","Routledge"],["dc.publisher.place","London and New York"],["dc.relation.isbn","978-1-138-93741-3"],["dc.relation.ispartof","Agricultural Markets Instability: Revisiting the Recent Food Crises"],["dc.title","Has agricultural price volatility increased since 2007?"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Brümmer, Bernhard"],["dc.contributor.author","Korn, Olaf"],["dc.contributor.author","Schlüßler, Kristina"],["dc.contributor.author","Jaghdani, Tinoush Jamali"],["dc.date.accessioned","2018-04-12T15:49:04Z"],["dc.date.available","2018-04-12T15:49:04Z"],["dc.date.issued","2014"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13229"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","ULYSSES project, EU 7th Framework Programme"],["dc.relation","ULYSSES"],["dc.title","Volatility analysis: causation impacts in retrospect (2007-2011) and preparing for the future"],["dc.type","working_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","685"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Agricultural Economics"],["dc.bibliographiccitation.lastpage","705"],["dc.bibliographiccitation.volume","67"],["dc.contributor.author","Brümmer, Bernhard"],["dc.contributor.author","Korn, Olaf"],["dc.contributor.author","Schlüßler, Kristina"],["dc.contributor.author","Jaghdani, Tinoush Jamali"],["dc.date.accessioned","2017-12-18T07:26:40Z"],["dc.date.available","2017-12-18T07:26:40Z"],["dc.date.issued","2016"],["dc.description.abstract","Food price volatility has re-emerged as an important topic of political discussion since the food price crisis of 2007–2008. Different volatility drivers have been identified for different markets in the theoretical and empirical literature. However, there is no comprehensive analysis that considers a large number of potential drivers and investigates their joint effects in a dynamic model of interrelated markets. Our study provides such a volatility analysis for the oilseeds and vegetable oils markets. We use a common GARCH approach and a VAR model to identify volatility drivers and spillover effects. Our results show that exchange rate volatility is very important. However, the hotly debated financialisation of commodity markets is not found to be volatility increasing in our monthly data. Impulse response functions show strong spillover effects. Because many volatility drivers found to be important in other markets have no significant effect in our study, our results suggest that volatility drivers are market specific. This implies that any volatility-reducing policies need to be designed for the market in question."],["dc.identifier.doi","10.1111/1477-9552.12141"],["dc.identifier.fs","622615"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11500"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1477-9552"],["dc.relation.issn","0021-857X"],["dc.title","Volatility in Oilseeds and Vegetable Oils Markets: Drivers and Spillovers"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]