Stock Market Prediction Accuracy Analysis Using Kappa Measure

被引:9
|
作者
Gupta, Rahul [1 ]
Garg, Nidhi
Singh, Sanjay [1 ]
机构
[1] Manipal Univ, Manipal Inst Technol, Dept Informat & Commun Technol, Manipal 576104, Karnataka, India
关键词
Stock Market Forecasting; Kappa Analysis; Stock tips; Market Recommendation; Equity; Shares;
D O I
10.1109/CSNT.2013.136
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The nature of stock market is highly stochastic which can only be predicted. There are various companies and news channels which uses different data analysis tool to forecast the behavior of the stocks on day to day basis. They also provide tips and recommendations to buy and sell certain stocks which will lead to more profit. As there are many news channels, websites and organizations which are doing this, it is very difficult for the buyer/seller, to judge whom to believe and whom to ignore. In this paper, we have applied kappa measure to quantify the accuracy of stock market prediction by various media houses. The stock with the highest kappa measure can be considered to be the best stock to buy. Moreover, Kappa measure also finds the risk involved in the purchase/sale of each shares. Thus instead of believing on a particular channel, newspaper or website for the stocks that should be purchased/sold, its combinations are used which improves the confidence in stock market recommendation.
引用
收藏
页码:635 / 639
页数:5
相关论文
共 50 条
  • [1] Improving stock market prediction accuracy using sentiment and technical analysis
    Agrawal, Shubham
    Kumar, Nitin
    Rathee, Geetanjali
    Kerrache, Chaker Abdelaziz
    Calafate, Carlos T.
    Bilal, Muhammad
    ELECTRONIC COMMERCE RESEARCH, 2024,
  • [2] Using Market News Sentiment Analysis for Stock Market Prediction
    Cristescu, Marian Pompiliu
    Nerisanu, Raluca Andreea
    Mara, Dumitru Alexandru
    Oprea, Simona-Vasilica
    MATHEMATICS, 2022, 10 (22)
  • [3] Using percentage accuracy to measure neural network predictions in Stock Market movements
    Brownstone, D
    NEUROCOMPUTING, 1996, 10 (03) : 237 - 250
  • [4] Using Sentimental Analysis in Prediction of Stock Market Investment
    Khatri, Sunil Kumar
    Srivastava, Ayush
    2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO), 2016, : 566 - 569
  • [5] Analysis of Stock Market Prediction Models Using Deep Learning
    Singh, Harmanjeet
    Shukla, Anand Kr
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2021, 14 (09): : 74 - 80
  • [6] Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN
    Sahana, T. P.
    Anuradha, J.
    INTELLIGENT COMPUTING, INFORMATION AND CONTROL SYSTEMS, ICICCS 2019, 2020, 1039 : 38 - 45
  • [7] Stock Market Prediction Using LSTM
    Kothari, Abhishek
    Kulkarni, Atharv
    Kohade, Tejas
    Pawar, Chetan
    SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 3, SMARTCOM 2024, 2024, 947 : 143 - 164
  • [8] HOW IS THE STOCK MARKET DOING? USING ABSENCE OF ARBITRAGE TO MEASURE STOCK MARKET PERFORMANCE
    Poitras, Geoffrey
    Heaney, John
    ANNALS OF FINANCIAL ECONOMICS, 2008, 4 (01)
  • [9] Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction
    Zhao, Cheng
    Hu, Ping
    Liu, Xiaohui
    Lan, Xuefeng
    Zhang, Haiming
    MATHEMATICS, 2023, 11 (05)
  • [10] The Prediction System for Data Analysis of Stock Market by Using Genetic Algorithm
    Wang, Ching-Te
    Lin, Yung-Yu
    2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, : 1721 - 1725