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[PDF] Top 20 Modelling and Analysis on Noisy Financial Time Series

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Modelling and Analysis on Noisy Financial Time Series

Modelling and Analysis on Noisy Financial Time Series

... the analysis of time series has at- tracted much attention from statistical and machine learning perspectives [1,2], with a variety of applications in different fields ...analyzing financial ... See full document

6

Modelling the Dublin housing market : A time series analysis

Modelling the Dublin housing market : A time series analysis

... house prices, income, mortgage interest rates, building costs, the stock of housing, household.. formation and land availability4.[r] ... See full document

222

Demand Modelling of Alcoholic Beverages in Manicaland Province Using Time Series Analysis

Demand Modelling of Alcoholic Beverages in Manicaland Province Using Time Series Analysis

... P-value 0.013 0.000 0.022 0.000 Inspection of the time plot of the standardized residuals had few outliers in the series. The ACF of the standardized residuals had no apparent departure from the model ... See full document

8

Time-series modelling in financial markets : new approaches and exchange rate applications

Time-series modelling in financial markets : new approaches and exchange rate applications

... VAR models are increasingly being used in the analysis of relationships within and between financial markets. In such models there are circumstances that require zero entries in the coefficient matrices. ... See full document

302

Structural Time Series Modelling of Capacity Utilisation

Structural Time Series Modelling of Capacity Utilisation

... This article does not aim at reviewing this literature, mostly because excellent re- views are already available, such as Christiano’s (1981). The recent additions mainly deal with the related issue of measuring ... See full document

30

Financial Time Series Modelling of Trends and Patterns in the Energy Markets

Financial Time Series Modelling of Trends and Patterns in the Energy Markets

... similar analysis was also carried out on the differenced gasoline futures and prices and the results were similar with high orders of autoregressive and moving ... See full document

14

Time series modelling of birth data

Time series modelling of birth data

... multivariate time series analysis were employed to the ...probability series and the ...Multivariate time series analysis was employed to consider the cross correlations ... See full document

114

Multi-frequency scale Gaussian regression for noisy time-series data

Multi-frequency scale Gaussian regression for noisy time-series data

... data analysis (Gibbs and MacKay, 2000; Yoshioka, and Ishii, 2001), including data filtering and fitting, statistical modelling and system ...to time-series data analysis is ... See full document

6

Does Chaos Matter in Financial Time Series Analysis?

Does Chaos Matter in Financial Time Series Analysis?

... in financial and, more in general, in economic time series, redirected research efforts in modelling nonlinearity shifting from conditional mean, properly of chaotic systems toward conditional ... See full document

7

Concepts and tools for nonlinear time series modelling

Concepts and tools for nonlinear time series modelling

... Tweedie, Random Coefficient Autoregressive Processes: a Markov Chain Analysis of Stationarity and Finiteness of Moments, Journal of Time Series Analysis, 6 1985 1–14.. Findley, The overf[r] ... See full document

64

Modelling time series of industrial production index

Modelling time series of industrial production index

... Aim of this work is modelling index industrial performance. In work will be constructed model on base results from business tendency surveys. Business tendency surveys open opportunity for various hypo- theses ... See full document

6

Neural Networks For Financial Time Series

Neural Networks For Financial Time Series

... the analysis of neural network systems and how it is efficiently utilized for financial analysis and in particular for cash predictions and ...in financial analysis, focusing on its ... See full document

6

Fractal Geometry of Financial Time Series

Fractal Geometry of Financial Time Series

... in time-series in general and in the stock market in particular is the scaling behavior of the absolute size of the jumps across lags of size ...first time introduced L´ evy’s stable random variables ... See full document

9

Modelling financial time series with SEMIFAR GARCH model

Modelling financial time series with SEMIFAR GARCH model

... However, there is little research on SEMIFAR-GARCH model except Beran and Feng (2001) which describes the model and derives the asymptotic normality of trend term estimation only. Some important problems for the ... See full document

24

Does Corruption Increase Financial Development? A Time Series Analysis in Pakistan

Does Corruption Increase Financial Development? A Time Series Analysis in Pakistan

... Braun and Tella (2000) probed the relationship between corruption and inflation. They reported that “a 1-percent standard deviation increase in inflation variance from the median can lead to an increase in corruption by ... See full document

13

Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments

Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments

... Modified Moving Average as Stage-3 Figure 4: Smoothed time series versus with Noisy time series of Non Linear Drag Smoothed Time Series Figure 2: A typical three stage filter proposed fo[r] ... See full document

9

Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models

Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models

... vector time series, ...and time of the market for other financial ...for modelling composite indices consisting of equally weighted equity price time series of returns of ... See full document

6

A new dynamic approach for non singleton fuzzification in noisy time series prediction

A new dynamic approach for non singleton fuzzification in noisy time series prediction

... and noisy time series prediction problems Mackey-Glass and ...the noisy time-series are examined for the standard fuzzification and the new methods, by measuring the produced ... See full document

6

Testing extreme dependence in financial time series

Testing extreme dependence in financial time series

... multivariate time series analysis are not suitable in this setting, since they concentrate on the joint behavior during stable and stationary ...different series occur concurrently. Given the ... See full document

43

Extended Wiener Measure by Nonstandard Analysis for Financial Time Series

Extended Wiener Measure by Nonstandard Analysis for Financial Time Series

... We propose a new approach to construct an extended Wiener measure using nonstandard analysis by E. Nelson. For the new definition we construct non-standardized convolution of probability measure for independent ... See full document

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