Name
Abstract | ||
|---|---|---|
Working on the daily closing prices and logreturns, in this paper we deal with the use of Hidden Markov Models (HMMs) to forecast the price of the EUR/USD Futures. The aim of our work is to understand how the HMMs describe different financial time series depending on their structure. Subsequently, we analyse the forecasting methods exposed in the previous literature, putting on evidence their pros and cons. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Econometrics,Futures contract,Artificial intelligence,Hidden Markov model,Mathematics,Machine learning |
DocType | Volume | Citations |
Journal | abs/1504.07829 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Rebagliati | 1 | 0 | 0.34 |
| Emanuela Sasso | 2 | 0 | 0.34 |
| Samuele Soraggi | 3 | 0 | 0.34 |