Essays about: "EWMA"

Showing result 1 - 5 of 25 essays containing the word EWMA.

  1. 1. Natural gas storage level forecasting using temperature data

    University essay from Linköpings universitet/Produktionsekonomi

    Author : Daniel Sundin; [2020]
    Keywords : Natural gas storage forecasting; Natural gas storage; Natural gas; Storage forecasting; Forecasting; Futures; Futures forecasting; Natural gas futures forecasting; Least squares regression; Regression; Machine learning; Exponential Weighted Moving Average; Moving Average; EWMA; MA; Seasonality; Commodity futures; Optimisation; Inverse problems; Consumption forecasting; Production Forecasting; Residential; Commercial; Industrial; Electric power; NOAA; EIA; Pipelines; Polynomial; Weather stations;

    Abstract : Even though the theory of storage is historically a popular view to explain commodity futures prices, many authors focus on the oil price link. Past studies have shown an increased futures price volatility on Mondays and days when natural gas storage levels are released, which could both implicate that storage levels and temperature data are incorporated in the prices. READ MORE

  2. 2. Preprocessing Data: A Study on Testing Transformations for Stationarity of Financial Data

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Sara Barwary; Tina Abazari; [2019]
    Keywords : Bachelor Thesis; financial outcome; transformations; stationarity; tests of hypothesis; EWMA; Kandidatarbete; finansiell avkastning; transformationer; stationäritet; hyoptestest; EWMA;

    Abstract : In thesis within Industrial Economics and Applied Mathematics in cooperation with Svenska Handelsbanken given transformations was examined in order to assess their ability to make a given time series stationary. In addition, a parameter α belonging to each of the transformation formulas was to be decided. READ MORE

  3. 3. Implementation of Anomaly Detection on a Time-series Temperature Data set

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS); Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Jelena Novacic; Kablai Tokhi; [2019]
    Keywords : machine learning; anomaly detection; linear regression; exponentially weighted moving average; EWMA; probabilistic exponentially weighted moving average; PEWMA; time-series data set;

    Abstract : Aldrig har det varit lika aktuellt med hållbar teknologi som idag. Behovet av bättre miljöpåverkan inom alla områden har snabbt ökat och energikonsumtionen är ett av dem. En enkel lösning för automatisk kontroll av energikonsumtionen i smarta hem är genom mjukvara. READ MORE

  4. 4. Anomaly Detection for Portfolio Risk Management : An evaluation of econometric and machine learning based approaches to detecting anomalous behaviour in portfolio risk measures

    University essay from KTH/Nationalekonomi

    Author : Simon Westerlind; [2018]
    Keywords : Anomaly detection; Outlier Detection; Portfolio management; Risk management; Value-at-Risk; HTM; EWMA; ARIMA; LSTM; GARCH; Anomalidetektering; Avvikelsedetektering; Portföljhantering; Riskhantering; Valueat-Risk; HTM; EWMA; ARIMA; LSTM; GARCH;

    Abstract : Financial institutions manage numerous portfolios whose risk must be managed continuously, and the large amounts of data that has to be processed renders this a considerable effort. As such, a system that autonomously detects anomalies in the risk measures of financial portfolios, would be of great value. READ MORE

  5. 5. Volatility and variance swaps : A comparison of quantitative models to calculate the fair volatility and variance strike

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Johan Röring; [2017]
    Keywords : ;

    Abstract : Volatility is a common risk measure in the field of finance that describes the magnitude of an asset’s up and down movement. From only being a risk measure, volatility has become an asset class of its own and volatility derivatives enable traders to get an isolated exposure to an asset’s volatility. READ MORE