Stock data research is also a typical financial time series problem. In the research of financial time series, there are many methods, such as model building, data mining, heuristic algorithm, machine learning, deep learning, and so on. VAR, ARIMA and other methods are...
Data Analysis (2 credits):本课程涵盖了数据分析的基本和高级统计方法,并展示了如何使用这些技术通过统计数据包(例如Python和R)来分析财务数据。关键主题是读取和描述数据,分类数据,时间序列数据,相关性,非参数比较,方差分析,多元回归,一般线性模型和分位数回归模型。 Financial Data Mining (2 credits):在本课程中,...
multipledis- criminantanalysis,Logitandsoon[1].Thoughthese methodsusehistorysamplestocreatediagnosticmodel, theycannotinductivelylearnfromnewdatadynamically, whichgreatlyaffectsthepredictionaccuracy.Morerecent- ly,manystudieshavedemonstratedthatartificialintelli- gencesuchasneuralnetworkscanbeanalternative methodfor...
The insurance financial management information system has accumulated a large amount of data as the insurance financial system has improved and the number of people investing in insurance has increased rapidly. The performance of the insurance agency significantly contributes to the industry's growth, wh...
In this study, we proposed a data mining framework designed specifically for the financial market with the following three characteristics: interpretation, prediction evaluation metrics, and reporting methods. Firstly, a prediction model should provide predictive power and interpretability. We proposed that...
Three independent methods-discriminant analysis, logistic regression and neural network have been used in data mining process. It has been proved that the method of neural network is better than others. Combing the merits of the above methods, a hybrid model that increases prediction performance ...
Financial Econometrics: Problems, Models, and Methods Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descri... C Gourieroux,J Jasiak - Princeton University Press 被引量: 181发表: 2002年 [dynamic ...
Besides, the GMDH algorithm utilizing neural networks based on available data has the capability of predicting possible risks that could occur in the future. The outcomes of the proposed method when compared to non-data mining methods suggest that it improves accuracy by almost 20%. 展开 ...
Restructuring of Uis Tin Mining Company (PTY) Ltd ("UTMC") On 26 June 2024, the Company executed a legally binding agreement to restructure UTMC, the operational Namibian entity that holds the Company's licences to ensure a more efficient corporate structure. The Company sought to increase its...
Mining: Mine Development has progressed as new equipment has arrived to site, including two new ST7 scoops and one new Jumbo drill. The ramp has been completed to 732 m and the first ore round was blasted on June 30th. Amaroq has continued the sump development which is 75% complete. Both...