Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040778935> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W3040778935 abstract "Finance and especially computational finance is one of the areas in which Artificial Intelligence and machine learning has found a deep impact in the way financial problems are handled. As compared to traditional approaches the machine learning techniques have greater ease of use, higher degree of accuracy and the evaluation time to get the end result has been considerably reduced. In this paper, a general way of assessing risks and prediction of returns of different types of stocks using various machine learning techniques is reviewed and discussed and compared with the traditional methods. Earlier, more statistical and numerical methods were used for the same purpose. However, the nature of data in financial time series is nonlinear and chaotic. They do not follow linear characteristics, and are often a combination of white noise. To interpret this data meaningfully requires removal of noise and learning only the data that is actually suitable for analysis. Hence machine learning methods are found to be more suitable for applying in the financial domain. In the paper, the machine learning methods are reviewed which are used in the area of stock selection for portfolio construction and portfolio management." @default.
- W3040778935 created "2020-07-16" @default.
- W3040778935 creator A5031090809 @default.
- W3040778935 creator A5036676244 @default.
- W3040778935 date "2020-06-01" @default.
- W3040778935 modified "2023-09-23" @default.
- W3040778935 title "A Comparative Study on Machine Learning Techniques in Assessment of Financial Portfolios" @default.
- W3040778935 cites W1515832177 @default.
- W3040778935 cites W1975597002 @default.
- W3040778935 cites W2013704165 @default.
- W3040778935 cites W2040956360 @default.
- W3040778935 cites W2070156190 @default.
- W3040778935 cites W2088552997 @default.
- W3040778935 cites W2100826087 @default.
- W3040778935 cites W2110237869 @default.
- W3040778935 cites W2144305242 @default.
- W3040778935 cites W2465012345 @default.
- W3040778935 cites W2784381726 @default.
- W3040778935 cites W2801275319 @default.
- W3040778935 cites W2929930980 @default.
- W3040778935 cites W2942419732 @default.
- W3040778935 cites W2956885731 @default.
- W3040778935 cites W2969799658 @default.
- W3040778935 cites W2980996168 @default.
- W3040778935 cites W2993059983 @default.
- W3040778935 doi "https://doi.org/10.1109/icces48766.2020.9137878" @default.
- W3040778935 hasPublicationYear "2020" @default.
- W3040778935 type Work @default.
- W3040778935 sameAs 3040778935 @default.
- W3040778935 citedByCount "2" @default.
- W3040778935 countsByYear W30407789352021 @default.
- W3040778935 countsByYear W30407789352023 @default.
- W3040778935 crossrefType "proceedings-article" @default.
- W3040778935 hasAuthorship W3040778935A5031090809 @default.
- W3040778935 hasAuthorship W3040778935A5036676244 @default.
- W3040778935 hasConcept C10138342 @default.
- W3040778935 hasConcept C115903097 @default.
- W3040778935 hasConcept C119857082 @default.
- W3040778935 hasConcept C154945302 @default.
- W3040778935 hasConcept C162324750 @default.
- W3040778935 hasConcept C2780821815 @default.
- W3040778935 hasConcept C41008148 @default.
- W3040778935 hasConcept C8038995 @default.
- W3040778935 hasConceptScore W3040778935C10138342 @default.
- W3040778935 hasConceptScore W3040778935C115903097 @default.
- W3040778935 hasConceptScore W3040778935C119857082 @default.
- W3040778935 hasConceptScore W3040778935C154945302 @default.
- W3040778935 hasConceptScore W3040778935C162324750 @default.
- W3040778935 hasConceptScore W3040778935C2780821815 @default.
- W3040778935 hasConceptScore W3040778935C41008148 @default.
- W3040778935 hasConceptScore W3040778935C8038995 @default.
- W3040778935 hasLocation W30407789351 @default.
- W3040778935 hasOpenAccess W3040778935 @default.
- W3040778935 hasPrimaryLocation W30407789351 @default.
- W3040778935 hasRelatedWork W2339204188 @default.
- W3040778935 hasRelatedWork W3046775127 @default.
- W3040778935 hasRelatedWork W3094076422 @default.
- W3040778935 hasRelatedWork W3196155444 @default.
- W3040778935 hasRelatedWork W3200361725 @default.
- W3040778935 hasRelatedWork W3209574120 @default.
- W3040778935 hasRelatedWork W3210156800 @default.
- W3040778935 hasRelatedWork W4285260836 @default.
- W3040778935 hasRelatedWork W4306321456 @default.
- W3040778935 hasRelatedWork W4319309271 @default.
- W3040778935 isParatext "false" @default.
- W3040778935 isRetracted "false" @default.
- W3040778935 magId "3040778935" @default.
- W3040778935 workType "article" @default.