This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning of demand-side Bulk Electricity Market Customers (BEMCs). The Ontario electricity market is selected as the primary case market and its structure is studied in detail. A set of explanatory variable cand...

GPU or VGA (graphic processing unit) is a vital component of computers and laptops, used for tasks such as rendering videos, creating game environments, compiling large amounts code. The price GPU/VGA has fluctuated significantly since the start COVID-19 pandemic in 2020, due part to increased demand GPUs remote work online activities. Furthermore, accurate forecasting can have broader implicat...

In this study, we conducted an oil prices forecasting competition among a set of structural models, including vector autoregression and dynamic stochastic general equilibrium (DSGE) models. Our results highlight two principles. First, forecasts should exploit the fact that real are mean reverting over long horizons. Second, models not replicate high volatility observed in samples. By following ...

Technical analysis is the forecasting of future price movement based on an examination of past prices. Some scientist found that the study of historical prices cannot predict future prices. In this research we intend to study which technical analysis tool is better for prediction of future price movement, for this purpose we are studying two the most strongest technical analysis tools is called...

Forecasting the prices of metals is important in many aspects of economics. Metal prices are also vital variables in financial models for revenue evaluation, which forms the basis of an effective payment regime using resource policymakers. According to the severe changes of the metal prices in the recent years, the classic estimation methods cannot correctly estimate the volatility. In order to...

In the analysis of dynamic financial quantities such as stock prices, equity prices, etc., reasonable results are often obtained if we only consider local maxima (“peaks”) and local minima (“troughs”) and ignore all the other values. The empirical success of this strategy remains a mystery. In this paper, we provide a possible explanation for this success. 1 Formulation of the Problem Peak-and-...