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「 A Prediction Approach for Stock Market Volatility Based on Time Series Data 」 ieee access 翻譯

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abstract
01 : because the auther is the indian , so this research will take nifty etc india stock to example
因為作者是印度人,所以想當然的會拿 nifty 等印度股票做舉例
This research tries to analyze the time series data of the Indian stock market and build a statistical model that could efficiently predict the future stocks

02 : 時間序列是指有序序列,或者由相同時間差,間隔組成的數據點集合
Time series data refers to an ordered sequence or a set of data points that a variable takes at equal time intervals

03 : 最大化收益,最小化風險
All the stock market investors aim to maximize the returns over their investments and minimize the risks associated

04 : components may mean: 指數中的分股
The stock market is considered to be one of the most highly complex financial systems which consist of various components or stocks , the price of which fluctuates greatly with respect to time

05 : 由於在多種實用領域,例如:外匯貨幣、銷售數量等等,去分析預測外幣、銷量這些因與時間變化而有改動的序列是至關重要的,並有著他的廣泛應用。
Time series analysis and forecasting is of vital significance , owing to its widespread use in various practical domains

06 : 預測股市牽涉到如何揭開關攸時間而變遷的市場趨勢
Stock market forecasting involves uncovering the market trends with respect to time

07 : 股市是高敏感的,且易受快速變動而影響,所以預測股票趨勢的主要目標在於發展創新方法去預見股價,並創造高收益。
Stock markets being highly sensitive and susceptible to quick changes , the main aim of stock-trend prediction is to develop new innovative approaches to foresee the stocks that result in high profits
二、forecast process
短期 量化研究
中期
長期 質化研究 delphi method
一、 識別問題
二、 收集資訊
三、 初步分析
四、 選擇
五、 評估
三、 finance forecast
四、 stock market predict
五、 time serie analysis


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