Zhanchi Wu

Economics and Econometrics · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 23 citations into it

Whom Zhanchi Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lean Yu

Papers from Zhanchi Wu's perspective

Ordered by how strongly the researchers Zhanchi Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2. Carbon price volatility: Evidence from EU ETS
3. Modeling the Price Dynamics of Co2 Emission Allowances
4. An econometric analysis of emission allowance prices
5. A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting
6. A hybrid ARIMA and support vector machines model in stock price forecasting
7. Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach
8. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
9. Least Squares Support Vector Machine Classifiers
10. The relationship between crude oil spot and futures prices: cointegration, linear and nonlinear causality

Their papers

• Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017) — 276 citations
• Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach (2019) — 113 citations