Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Efficient Predictive Model for Determining Critical Factors Affecting Commodity Price: The Case of Coffee in Ethiopian Commodity Exchange (ECX)

Creator:
FacWorDr.
Publisher:
MEC
Host:

Visit

doi.org

Languages

Amharic

Similar

FORCASTING COFFEE PRICE USING STACKING ENSEMBLE APPROACH IN CASE OF ETHIOPIAN COMMODITY EXCHANGEThe Role and Challenge of Ethiopian Commodity Exchange (ECX) on Coffee Supplies and Marketing in EthiopiaStatistical Analysis of Price Volatility of Agricultural Commodities Traded at the Ethiopian Commodity Exchange (ECX) Using Multiplicative GARCH-MIDAS Two-component Modelcoffee and sesame data set from Ethiopian Commodity ExchangeImpacts of Institutional Intervention on Price Transmissions: The Case of the Ethiopian Commodity ExchangeDeveloping an Intelligent Trading Model for the Ethiopia Commodity Exchange (ECX) Using Deep Reinforcement Learning Algorithms

FORCASTING COFFEE PRICE USING STACKING ENSEMBLE APPROACH IN CASE OF ETHIOPIAN COMMODITY EXCHANGE

Coffee is one of the most widely traded commodities in the world, with prices that can greatly impac

The Role and Challenge of Ethiopian Commodity Exchange (ECX) on Coffee Supplies and Marketing in Ethiopia

The objective of the study was to examine the role and challenge of ECX in coffee supply by measurin

Statistical Analysis of Price Volatility of Agricultural Commodities Traded at the Ethiopian Commodity Exchange (ECX) Using Multiplicative GARCH-MIDAS Two-component Model

We applied multiplicative GARCH-MIDAS two component models for price return volatility of selected c

coffee and sesame data set from Ethiopian Commodity Exchange

The coffee data set from ECX (from 2012 to 2018 ) contains 1540 instances and 11 attributes. the ses

Impacts of Institutional Intervention on Price Transmissions: The Case of the Ethiopian Commodity Exchange

Abstract In the aftermath of the market liberalization reforms, interventions in developing countri

Developing an Intelligent Trading Model for the Ethiopia Commodity Exchange (ECX) Using Deep Reinforcement Learning Algorithms

The Ethiopian Commodity Exchange (ECX) faces significant challenges, including manual trading proces