本文關(guān)鍵詞：基于ARIMA模型的石油價(jià)格短期分析預(yù)測(cè)，由筆耕文化傳播整理發(fā)布。

1.

Actual prices have to be replaced, not merely by expected prices but by the discounted values of those expected prices.

實(shí)際價(jià)格不僅要被預(yù)期價(jià)格所代替，而且要被預(yù)期價(jià)格的貼現(xiàn)價(jià)值所代替。

2.

To buy(something) at less than a proper or expected price.

低于實(shí)價(jià)買低于適當(dāng)或預(yù)期價(jià)格購(gòu)買（某物）

3.

Stability analysis made of price adjustment of disequilibrium micro-market expectation price

非均衡微觀市場(chǎng)預(yù)期價(jià)格模型價(jià)格調(diào)節(jié)穩(wěn)定性分析

4.

Can Futures Prices Predict the Future Spot Prices?;

期貨價(jià)格能否預(yù)測(cè)未來的現(xiàn)貨價(jià)格?

5.

Accuracy analysis of forecasting crude oil spot prices using futures prices

原油期貨價(jià)格對(duì)現(xiàn)貨價(jià)格的預(yù)測(cè)準(zhǔn)確性分析

6.

The material price variance measures the difference between the actual cost of material and the standard cost expected to be paid for the material.

材料的價(jià)格差異是材料的實(shí)際價(jià)格與預(yù)期的標(biāo)準(zhǔn)價(jià)格之間的差額,

7.

lagged variable of unanticipated inflatio

非預(yù)期的價(jià)格上漲中滯后變量

8.

Though price-expectation are consistent, plans may be inconsistent.

價(jià)格預(yù)期雖然一致，計(jì)劃或許不一致。

9.

Prices were previously expected to be constant at the old level.

以前價(jià)格預(yù)期在舊的水平上保持不變。

10.

Application of BP Neutral Network in Forecasting of Futures Price;

BP神經(jīng)網(wǎng)絡(luò)在期貨價(jià)格預(yù)測(cè)中的應(yīng)用

11.

Optimistic Expectation,Liquidity and Asset Prices;

“繁華預(yù)期”、流動(dòng)性變化和資產(chǎn)價(jià)格

12.

Forecast model of futures price based on GARCH and EWMA;

基于GARCH-EWMA的期貨價(jià)格預(yù)測(cè)模型

13.

Short-Term Price Analysis and Forecasting Methods Selection of Agricultural Products

農(nóng)產(chǎn)品短期價(jià)格分析及預(yù)測(cè)方法選擇

14.

The ARIMA Model Based on Short-term Analysis and Forecasting of Oil Prices

基于ARIMA模型的石油價(jià)格短期分析預(yù)測(cè)

15.

Petroleum Futures Price Prediction Research Based on LM Algorithm

基于LM算法的石油期貨價(jià)格預(yù)測(cè)研究

16.

Based on neural network prediction of gold futures prices

基于神經(jīng)網(wǎng)絡(luò)的黃金期貨價(jià)格的預(yù)測(cè)

17.

Futures prices forecasting based on PSO neural network

基于粒子群神經(jīng)網(wǎng)絡(luò)的期貨價(jià)格預(yù)測(cè)

18.

April CPI is expected to moderate to a 0.4% MoM rate vs. a prior 0.7% reading.

4月消費(fèi)者價(jià)格指數(shù)預(yù)期達(dá)到0.4%（月率），，前期為0.7%。

  本文關(guān)鍵詞：基于ARIMA模型的石油價(jià)格短期分析預(yù)測(cè)，由筆耕文化傳播整理發(fā)布。