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[PDF] Top 20 Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach

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Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach

Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach

... The EMP index is computed using a small number of monetary variables such as exchange rate depreciations and changes in international reserves. On the other hand, FSTI is constructed utilizing a broad range of key ... See full document

37

Forecasting Financial Stress Indices in Korea: A Factor Model Approach

Forecasting Financial Stress Indices in Korea: A Factor Model Approach

... our factor models overall outperform the bench- mark ...single factor perform as well as bigger models that include up to 8 common ...AR-type model of the FSI with the …rst common factor seems ... See full document

49

Forecasting Financial Vulnerability in the US: A Factor Model Approach

Forecasting Financial Vulnerability in the US: A Factor Model Approach

... our factor-based forecasting models overall outperform the nonstationary random walk benchmark model as well as the stationary autoregressive model especially for short-horizon predictions, which is ... See full document

37

FORECASTING CITRUS EXPORTS IN PAKISTAN

FORECASTING CITRUS EXPORTS IN PAKISTAN

... Forecasted Citrus Export Quantity The forecasted export quantity of citrus has positive trend in Pakistan. The trend can be seen through analy- sis plot for citrus export quantity in Pakistan by using Quadratic Trend ... See full document

5

A New Approach for Improving Accuracy of Multi Label Stream Data

A New Approach for Improving Accuracy of Multi Label Stream Data

... Text representation in all datasets follows the bag- of-words model. Boolean vectors are used in tmc2007, while tf-idf vectors are used in the case of rcv1v2. We applied feature selection to tmc2007 and rcv1v2 to ... See full document

7

2013 Financial Forecast Return

2013 Financial Forecast Return

... 2013 Financial Forecast Return Issue date: 5 July 2013 Summary: This document provides guidance for the completion of non-incorporated colleges’ FFR returns FAO: Principals and directors[r] ... See full document

5

Forecasting oil prices

Forecasting oil prices

... frequency financial data (weekly 4 ) to forecast the monthly crude oil ...frequency financial data in forecasting the monthly real price of oil ... See full document

47

Designing a Career Plateauing Model in Departments of Sports and Youth Based on the PLS-SEM Approach

Designing a Career Plateauing Model in Departments of Sports and Youth Based on the PLS-SEM Approach

... a model of Plateauing of employees of departments of Youth and Sport of northwestern provinces of ...exploratory factor analysis was ...exploratory factor analysis, confirmatory factor ... See full document

12

International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... Abstract— Data mining is a form of knowledge discovery essential for solving problems in a specific domain. Classification is a technique used for discovering classes of unknown data. Several major kinds of ... See full document

6

Ensemble Methodology Approach for Improving Anomaly Detection Accuracy

Ensemble Methodology Approach for Improving Anomaly Detection Accuracy

... hybrid approach for anomaly detection. This proposed hybrid approach uses Support Vector Machine and Naive Bayes technique for anomaly ...recall, accuracy and F1-score than SVM and Naive ... See full document

8

Application of Markov chain model in streamflow forecasting : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Geography at Massey University

Application of Markov chain model in streamflow forecasting : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Geography at Massey University

... The model has two options of making a forecast : 1 a Threshold Forecast ThF approach in which a forecast is based on the probability of making a one-step transition from any state into t[r] ... See full document

18

Particle swarm optimized partial least square support vector regression model for tax revenue prediction

Particle swarm optimized partial least square support vector regression model for tax revenue prediction

... structure model is no longer applicable, because of the relationship between China’s tax and economy changing greatly, the tax system continuous reform and tax statistics data will also change ...The model ... See full document

9

Measuring human performance of Malaysian train drivers: developing model using PLS approach

Measuring human performance of Malaysian train drivers: developing model using PLS approach

... average variance extracted (AVE) proposed by Farnell and Lacker (1981) was to measure variance amount by the indicators relative to measurement error. The AVE should be more than 0.5 (Chin, 2010). However, the value of ... See full document

7

Sales Forecast Accuracy Analysis in Retailer Management

Sales Forecast Accuracy Analysis in Retailer Management

... The forecast annual demand will not equal real annual demand unless the SFA can reach 100%, which will never happen no matter how much effort is committed in ...distinct forecast error situations: ... See full document

58

A Survey And Analysis Of Content Centric Networking Approaches

A Survey And Analysis Of Content Centric Networking Approaches

... centric approach of modelling the Internet applications to meet the regard of contents with high interest from the peoples’ ...for improving the content availability to the users through accurate content ... See full document

5

A Life Factor Approach to the Yield Prediction: a Comparison with a Technological Approach in Reliability and Accuracy

A Life Factor Approach to the Yield Prediction: a Comparison with a Technological Approach in Reliability and Accuracy

... regression model in the accu- ...network model has a drawback of impossibil- ity to express it in the form of a mathematical equation, which makes it less versatile for ap- plication in other ...network ... See full document

7

Bias Correction and Out of Sample Forecast Accuracy

Bias Correction and Out of Sample Forecast Accuracy

... We evaluate the out-of-sample forecasting ability of the three estimators, the LS, the RMA, and the GT, with two alternative forecasting methods. First, we utilize first 69 out of 139 observations to obtain h-step ahead ... See full document

15

On selecting policy analysis models by forecast accuracy

On selecting policy analysis models by forecast accuracy

... policy model by a purely statistical device is not sufficient to sustain the use of the lat- ter for policy: a statistical forecasting procedure which embodies no links between target variables and policy ... See full document

32

DETECTION AND PREVENTION OF UNKNOWN VULNERABILITES ON ENTERPRISE IP NETWORKS

DETECTION AND PREVENTION OF UNKNOWN VULNERABILITES ON ENTERPRISE IP NETWORKS

... Abstract— Computer networks have long become backbone of the Enterprise Information System. A substantial share of the security problems we still encountered in Enterprise Network. Cyber espionage can effect Ethical, ... See full document

10

Optimal forecasting model selection and data characteristics

Optimal forecasting model selection and data characteristics

... fit model is selected on the basis of out-of- sample forecast accuracy for the Bust, Recovery and Combined ...To forecast out-of-sample, all observations other than the last 22 of the Boom, ... See full document

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