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1 |
How to build a better database: When python programming meets Bloombergs Open API
چگونگی ساخت یک پایگاه داده ای بهتر: چه موقع برنامه نویسی با پایتون API آزاد بلومبرگ را برآورده می کند-2018 The need to hand collect data from SEC filings, among other sources, has long constituted a significant obstacle when conducting research in the area of finance (more specifically corporate finance) – and, indeed, business broadly defined. We propose a novel data collection alternative; using the Python programming language and Bloombergs Open API we show how to automate the data collection process and generate databases of indefinite size. This is particularly useful when collecting data generally thought to be available only in proxy statements. Such variables include, but are not limited to: CEO age, CEO tenure, board size, number of independent and female directors on the board, and number of shares held by insiders. The approach described in our paper has significant implications for research, academia and in areas heretofore limited by the need to hand collect data.
keywords: Bloomberg Open API| Python| Hand-collected data| SEC filings| Databases |
مقاله انگلیسی |
2 |
How to build a better database: When python programming meets Bloombergs Open API
چگونه یک پایگاه داده بهتر ایجاد کنیم: زمانی که برنامه نویسی پایتون با API Bloombergs Open باز می شود-2017 The need to hand collect data from SEC filings, among other sources, has long constituted
a significant obstacle when conducting research in the area of finance (more specifically
corporate finance) – and, indeed, business broadly defined. We propose a novel data col
lection alternative; using the Python programming language and Bloomberg’s Open API
we show how to automate the data collection process and generate databases of indefi
nite size. This is particularly useful when collecting data generally thought to be available
only in proxy statements. Such variables include, but are not limited to: CEO age, CEO
tenure, board size, number of independent and female directors on the board, and number
of shares held by insiders. The approach described in our paper has significant implica
tions for research, academia and in areas heretofore limited by the need to hand collect
data.
Keywords: Bloomberg Open API | Python | Hand-collected data | SEC filings | Databases |
مقاله انگلیسی |