scholarly journals International Food Commodity Prices and Missing (Dis)Inflation in the Euro Area

2018 ◽  
Author(s):  
Gert Peersman
Keyword(s):  
Euro Area ◽  
Commodity Prices ◽  
Food Commodity

scholarly journals International Food Commodity Prices and Missing (Dis)Inflation in the Euro Area

2020 ◽  
pp. 1-43
Author(s):  
Gert Peersman
Keyword(s):  
Euro Area ◽  
Commodity Prices ◽  
Medium Term ◽  
Price Shocks ◽  
Production Chain ◽  
Inflation Volatility ◽  
The Great Recession ◽  
Svar Model ◽  
Retail Prices ◽  
Food Commodity

Exogenous shifts in international food commodity prices, which are identified using an SVAR model with global harvest shocks as an external instrument, explain almost 30 percent of euro area inflation volatility over the medium term and contributed significantly to the twin puzzle of missing (dis) inflation in the era after the Great Recession. International food price shocks have an impact on food retail prices through the food production chain, but also trigger indirect inflationary effects via a depreciation of the euro and, most importantly, rising wages. Finally, due to asymmetric wage responses, the inflationary effects are very different across member states.

Prospects for the global economy to end-2016

2016 ◽  
Keyword(s):  
Euro Area ◽  
Emerging Economies ◽  
Global Economy ◽  
Commodity Prices ◽  
Content Type ◽  
Area Growth ◽  
Recent Trends ◽  
Global Growth

Subject Prospects for the global economy to end-2016. Significance Global growth could accelerate in the second half of 2016. Some emerging economies are facing better conditions thanks to the weaker dollar and some rebound in commodity prices, while others remain in recession. US growth slowed in the first quarter, while Japan's government just avoided a relapse into recession. Euro-area growth is robust compared to its recent trends, but cannot be relied upon to provide much support for the rest of the global economy.

scholarly journals MENGKAJI PERILAKU HARGA KOMODITI PANGAN DI KOTA PALU MENGGUNAKAN METODE BACKPROPAGATION

2018 ◽  
Vol 15 (1) ◽  
pp. 58-68
Author(s):  
I N Peole ◽  
R Ratianingsih ◽  
D Lusiyanti
Keyword(s):  
Sweet Potato ◽  
Commodity Prices ◽  
Red Pepper ◽  
Green Beans ◽  
Yellow Corn ◽  
Backpropagation Method ◽  
Food Commodities ◽  
Hidden Layer ◽  
The Brain ◽  
Food Commodity

Artificial neural network is an information processing paradigm that is inspired by biological neural cell systems, like the brain, that processes information. The purpose of this research is to develop neural networks to predict the price of food commodities using backpropagation method. The research was conducted by using the rate of monthly price of food commodities in Palu from January 2011 - December 2015. The data is used to predict food commodity prices forduring 2016. The backpropagation networks consists of three layers. The first layer of input is constructedin the form of monthly prices of IR 64, ciherang, membramo, cimandi, superwin, sintanur, cisantana, sticky black, sticky white, yellow corn dry, white corn, soybeans, peanuts, green beans, cassava, sweet potato, onion, garlic, red pepper large, red pepper curls, cayenne pepper, cabbage round, potatoes, tomatoes, carrots, cauliflower, beans, onion, avocado, red apples, green apples, oranges, jackfruit, mango, pineapple, papaya, banana, banana horns, rambutan, bark, olive, durian, watermelon, and mangosteen from January – December that consist of 12 variables. One hidden layer consistof five neurons and the other one is the output, that is  the food commodity prices. The training process shows that on a maximum iterations on 500, constant learning rate 0,3 and 0,6 momentum, the predictions have 97.92% of level accuracy. The identification resultof food commodity prices behavior in Palu is predicted as follow: IR 64 Rp7.387, ciherang Rp8.182, membramo Rp8.150, cimandi Rp8.131, superwin Rp8.228, sintanur Rp8.660, cisantana Rp8.122, black sticky rice Rp21.383, white sticky rice Rp16.558, dry yellow corn Rp5.983, white corn Rp9.283, soybeans Rp14.600, peanuts Rp20.008, green beans Rp16.375, cassava Rp8.225, sweet potato Rp8. 542, red onion Rp28.550, garlic Rp21.208, red chili Rp27.308, curly red chili Rp23.650, cayenne Rp36.450, round cabbage Rp6.833, Rp12.067 potatoes, tomatoes Rp6.108, carrots 11.000, cauliflower Rp8.625, beans Rp10.333, scallion Rp25.242, avocado 11.000, red apple Rp29.023, green apple Rp31.067, orange Rp6.083, jackfruit Rp23.483, mango Rp11.187, pineapple Rp8.183, papaya Rp10.600, bananas Rp8.481, horn banana Rp2.683, rambutan Rp8.450, barking Rp5.625, tan Rp8.366, durian Rp19.208, watermelon Rp14.528 and mangosteen Rp18.067. It is predicted that the food commodity prices increased monthly.

scholarly journals Food Commodity Prices Volatility: The Role of Biofuels

2014 ◽  
Vol 05 (05) ◽  
pp. 200-212
Author(s):  
Christopher L. Gilbert ◽  
Harriet K. Mugera
Keyword(s):  
Commodity Prices ◽  
Food Commodity

scholarly journals GLOBAL CRUDE OIL PRICE AND DOMESTIC FOOD COMMODITY PRICES: EVIDENCE FROM INDONESIA

2020 ◽  
Vol 14 (1) ◽  
pp. 95-120
Author(s):  
Tiara Kencana Ayu
Keyword(s):  
Panel Data ◽  
Crude Oil ◽  
Local Food ◽  
Price Change ◽  
Commodity Prices ◽  
Oil Prices ◽  
Jel Classification ◽  
Crude Oil Prices ◽  
The Impact ◽  
Food Commodity

Abstrak Penelitian untuk menganalisis hubungan antara harga minyak dunia dan harga komoditi pangan di pasar domestik masih jarang ditemukan. Dengan membuat Model Panel Data dari 34 provinsi di Indonesia pada tahun 2010-2017, penelitian ini bertujuan untuk menginvestigasi pengaruh perubahan harga minyak dunia terhadap beberapa harga komoditi pangan lokal (kedelai,import, kedelai lokal, beras lokal, dan jagung lokal). Hasil penelitian ini mengindikasikan bahwa harga minyak dunia dapat memengaruhi harga pangan lokal di Indonesia melalui tingginya biaya pengiriman pada aktivitas impor. Selain itu, harga komoditi pangan dunia juga terbukti dapat memengaruhi harga seluruh komoditi pangan lokal yang diteliti, yang mengimplikasikan bahwa harga komoditi pangan di Indonesia dipengaruhi oleh kondisi pasar internasional. Hasil penelitian ini memberikan masukan bagi pembuat kebijakan di Indonesia untuk mempertimbangkan perubahan harga minyak dunia dan harga komoditi global dalam menstabilkan harga komoditi lokal di Indonesia, terutama komoditi yang diimpor.   Abstract Globally, studies examining the nexus between global crude oil prices and food commodity prices in domestic markets are scant. Employing a panel data model of 34 provinces in Indonesia from 2010 - 2017, this study investigates the impact of global crude oil’s price change on some local food commodity prices (imported soybean, local soybean, local rice, and local maize). Previous studies found that local food commodity prices in some countries were not affected by global crude oil prices; however, this study, by controlling other factors which could affect local commodity prices, finds different results. This study’s findings indicate that global crude oil prices could affect Indonesia’s local commodity prices due to higher shipping costs in import activity. In addition, global commodity prices are also proved to affect all commodities examined in this study, which implies that local food commodity prices in Indonesia are influenced by the international market. This study provides input to policymakers in Indonesia to consider the movement of global crude oil prices and global commodity prices in stabilizing local food commodity prices in Indonesia, especially the imported commodities. JEL Classification: F15, O13, Q11

scholarly journals The interplay between oil and food commodity prices: Has it changed over time?

2021 ◽  
pp. 103540
Author(s):  
Gert Peersman ◽  
Sebastian K. Rüth ◽  
Wouter Van der Veken
Keyword(s):  
Commodity Prices ◽  
Food Commodity ◽  
Over Time
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