scholarly journals Vertical price transmission in Swiss dairy and cheese value chains

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Judith Hillen
Keyword(s):  
Value Chain ◽  
Price Transmission ◽  
Value Chains ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Vector Error Correction Models ◽  
On Farm ◽  
Price Relationships

AbstractIn Switzerland, there are separated value chains for dairy and cheese products, which differ in terms of industry concentration, value chain governance, and product characteristics. We analyze how milk prices are passed on along these different value chains. Using detailed price data on farm gate, wholesale, export, and retail levels, we apply asymmetric vector autoregressive and vector error correction models to study vertical price transmission in Swiss dairy and cheese chains. Contrary to most existing literature, we find almost no long-run price relationships and no significant asymmetries between the different stages and products and discuss the potential reasons.

Investigating the Price Transmission Mechanisms of Greek Fresh Potatoes, Tomatoes and Cucumbers Markets

2016 ◽  
Vol 14 (1) ◽  
Author(s):  
Anthony N. Rezitis ◽  
Dimitris N. Pachis
Keyword(s):  
Empirical Analysis ◽  
Price Transmission ◽  
Vector Error Correction ◽  
Price Increases ◽  
Transmission Mechanisms ◽  
Vector Error ◽  
Long Run ◽  
Out Of Sample ◽  
The Empirical Analysis ◽  
Price Relationships

AbstractThis study investigates the price transmission mechanisms between the producer and the consumer for three major Greek agricultural products: fresh potatoes, tomatoes and cucumbers. The empirical analysis uses a Markov Switching Vector Error Correction model which accounts for asymmetric responses of the producer and the consumer to price increases and decreases. The asymmetric effects are tested with in-sample as well as out-of-sample measures for each state. The response of the producer and the consumer to long-run deviations from the equilibrium and to lagged price changes is investigated along with the nature of the price shocks for each state. The empirical results show that potatoes and cucumbers give rise to similar price mechanisms even though the underlying characteristics of these two markets are different. Moreover, the empirical analysis shows that tomatoes and cucumbers result in different price relationships between the producer and the consumer despite the similar market characteristics.

Afghanistan’s Food Security: Evidence from Pakistan and Afghanistan Wheat Price Transmission using Threshold Vector Error Correction Model (TVECM))

2021 ◽  
Vol 5 (1) ◽  
pp. 1-16
Author(s):  
Tahir Mahmood ◽  
Afaq Ali Muluk ◽  
Seema Zubair
Keyword(s):  
Food Security ◽  
Wheat Flour ◽  
Market Price ◽  
Price Transmission ◽  
Wheat Grain ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Wheat Market

Afghanistan's food security mainly depends on Pakistan's wheat prospect, circumstances, agriculture policies, and market price dynamics. This study explores the price transmission mechanism of the wheat flour and wheat grain between Pakistan and Afghanistan using monthly price pairs from January 2003 through October 2017. The paper investigates the existing knowledge of how Pakistan’s agricultural policy and wheat market affects the wheat market and food security of Afghanistan. The results confirm that the wheat flour price of Pakistan is found to be driving the price of wheat flour of Afghanistan. This implies that wheat flour price of Pakistan evolves independently, and that wheat flour price of Afghanistan balances any divergence in the long-run relationship between the two markets prices. The policy implication is to eradicate transaction costs as well as procuring timely wheat grain and flour, in order to maintain price stability between Pakistan and Afghanistan wheat markets.

scholarly journals Leading properties of GDT auctions for dairy prices

2020 ◽  
Vol 122 (7) ◽  
pp. 2303-2328
Author(s):  
Jakub Olipra
Keyword(s):  
Milk Powder ◽  
Price Transmission ◽  
Price Expectations ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Setting Process ◽  
Dairy Markets ◽  
The Us ◽  
Vector Error Correction Models

PurposeProfessionals from the dairy sector commonly believe that the results of Global Dairy Trade (GDT) auctions are a good leading indicator for prices of dairy commodities. The purpose of this paper is to test that hypothesis for prices of key dairy commodities (skimmed milk powder (SMP), whole milk powder (WMP), butter and cheddar) in the main dairy markets (the US, EU and Oceania).Design/methodology/approachThe leading properties of the GDT auctions are investigated using vector error correction models (VECM).FindingsThe results show that prices at GDT auctions may be treated as a benchmark for global prices of WMP and SMP as they affect prices in all considered markets. However, in case of EU market the relationship with the GDT is bidirectional. GDT prices reveal some leading properties also in cheddar market, however price relationships in this market are much more complex. In case of butter market, GDT can be regarded as a benchmark only for Oceania.Practical implicationsThe results of this paper improve knowledge on price transmission in dairy markets, show the role of the GDT auctions in the price setting process, and thus may help professionals from the dairy sector to formulate their price expectations more precisely.Originality/valueDespite the fact that many professionals from the dairy sector treat GDT auctions as a benchmark, so far their leading properties have not been scientifically proven.

scholarly journals Contemporary Literature Review of the Russian Rouble Determinants

2021 ◽  
pp. 26-31
Author(s):  
Morad Bali ◽  
Keyword(s):  
Price Index ◽  
Contemporary Literature ◽  
Consumer Price Index ◽  
Ordinary Least Squares ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Vector Error Correction Models ◽  
Gas Price ◽  
Structural Vector

This short literature review’s goal is to examine available papers regarding the study of Russian Rouble determinants. For purpose of analysis, 35 articles were studied among which 22 were selected, for a total of 414 pages shelled. This work analyzes most recent empirical articles, in order to identify factors responsible for the Russian currency fluctuations. Different models will be compared to learn if some are more effective than others, from basic Linear regression to Structural vector autoregressive, through Ordinary least squares or Vector error correction models. Moreover, a very special and particular attention will be paid to variables used. Which combinations of variables are used to study factors influencing the Russian currency? While it seems vital to include oil prices, interest rate, and consumer price index, is it important to have them all together in the same model? Are results among papers similar? In addition, would it be necessary to add variables such as GDP, gold price, gas price, M2 aggregate or sanctions? However, this paper will compare data from each model and try to find out if there is one best way to study the Russian currency determinants.

scholarly journals Relationship between sectoral exports and economic growth - A vector error correction modeling for Vietnamese fishery sector 1997 – 2008

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Nguyen Minh Duc ◽  
Nguyen Anh Tram
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Reverse Direction ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The One ◽  
Vector Error Correction Models ◽  
Error Correction Modeling ◽  
Econometric Approach

Numerous literatures have documented the relationship between exports and economic growth of a nation but not so many on the one between exports of an economic sector and national growth. This paper examines the latter relationship with evidence from fishery exports of Vietnam during 1997 to 2008. The contribution of fishery sector in Vietnamese Gross Domestic Products (GDP) may be mathematically calculated with statistical figures. However, the effects of fishery exports on the economic growth are yet to be thoroughly studied in an econometric approach. An econometric approach with stationary and co-integration tests and vector error correction models used in this study allows forecasting a persistence of the effects of fishery exports on Vietnamese GDP despite of different seasonal business. For the long run estimation, a double increase in national fishery exports revenue would raise the GDP by 7%. This has a great economic meaning in developing process of Vietnamese economy. In reverse direction, Vietnamese fishery exports would increase by 5.2% with a 10% increase in its GDP. Confirming the role of fishery exports in national economic growth, it is necessary for the sector to improve its competitive capacity.

scholarly journals Does Financial Deepening Cause Liquidity Problems for Banks? Evidence from Nigeria

2021 ◽  
pp. 242-257
Author(s):  
Kayode, Peter Akinyemi ◽  
Ajayi, David Adelagun ◽  
Awosusi, Charles Temitope
Keyword(s):  
Error Correction ◽  
Banking System ◽  
Analytical Techniques ◽  
Financial Deepening ◽  
Monetary Policies ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run

Attempt to facilitate economic growth makes the Central Banks to formulate monetary policies that seek to deepen the provision of financial resources to target sectors. Since Banks are the main channels through which monetary policies are executed, we attempted to examine whether financial deepening cause liquidity problem among Nigerian banks in this study. We employed time series analytical techniques to analyze selected financial deepening indicators and data for banking system liquidity between 1981 and 2019. The financial deepening variables used include of broad money to the gross domestic product (GDP) ratio; credit to private sector to the GDP ratio; ratio of commercial banks liabilities to the GDP; financial sector contribution to the GDP and ratio of market capitalization to the GDP. On the other hand, the liquidity of the banking system is proxy by its loan/deposit ratio for the period under study. We estimated the statistical properties of the variables examined and conducted some pre-estimation tests (stationarity and co-integration) to ascertain choice estimation techniques. We used a vector error correction mechanism to investigate long and short-run effects of financial deepening on Nigerian banking system liquidity. Both the long run vector autoregressive (VAR) and the short run and vector error correction (VEC) models results showed that there is a positive but statistically insignificant relationship between banking system liquidity and financial deepening variables. In addition, the results of the Granger causality between the dependent and independent variables revealed that there exists no causal relationship between the liquidity of the banking system and financial deepening. These findings imply that financial deepening did not impair banks’ liquidity position in Nigeria during the years under review. The study concluded that financial deepening does not cause liquidity problem for banks in Nigeria; rather, if well managed, can have positive effect on it. In the light of this, the study recommends that banks should re-strategize in the implementation of financial deepening policies that are liquidity friendly and that the Central Bank of Nigeria, should formulate policies that will not only focus on credit and loan beneficiaries, but also on the banks.

scholarly journals Modeling I(2) Processes Using Vector Autoregressions Where the Lag Length Increases with the Sample Size

Econometrics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 38
Author(s):  
Yuanyuan Li ◽  
Dietmar Bauer
Keyword(s):  
Sample Size ◽  
Error Correction ◽  
Vector Autoregressions ◽  
Reduced Rank Regression ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Pseudo Likelihood ◽  
Long Run ◽  
Stage Estimation

In this paper the theory on the estimation of vector autoregressive (VAR) models for I(2) processes is extended to the case of long VAR approximation of more general processes. Hereby the order of the autoregression is allowed to tend to infinity at a certain rate depending on the sample size. We deal with unrestricted OLS estimators (in the model formulated in levels as well as in vector error correction form) as well as with two stage estimation (2SI2) in the vector error correction model (VECM) formulation. Our main results are analogous to the I(1) case: We show that the long VAR approximation leads to consistent estimates of the long and short run dynamics. Furthermore, tests on the autoregressive coefficients follow standard asymptotics. The pseudo likelihood ratio tests on the cointegrating ranks (using the Gaussian likelihood) used in the 2SI2 algorithm show under the null hypothesis the same distributions as in the case of data generating processes following finite order VARs. The same holds true for the asymptotic distribution of the long run dynamics both in the unrestricted VECM estimation and the reduced rank regression in the 2SI2 algorithm. Building on these results we show that if the data is generated by an invertible VARMA process, the VAR approximation can be used in order to derive a consistent initial estimator for subsequent pseudo likelihood optimization in the VARMA model.

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