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A few years ago one of the most famous results in empirical economics was actually a spreadsheet error.
[Editor’s note: This guest post is by Zachary David, an analyst who advises institutional clients on trading practices (website:
The article below is adapted from this blog.] Having done a healthy share of paper replications over the past decade, and having been consistently disappointed when the models or techniques broke down on data shortly after (or even before) the authors’ sample periods, I would say that data misuse is a gigantic problem — spurious results are the norm.
In data-driven trading or quantitative investment research, data mining is a big part of what you have to do.
But successfully employing those techniques requires a lot of attention to the nuances of the domain, critical evaluation of your assumptions, and a commitment to exploring philosophies of statistics and science.
CMCRC researchers show that China is still on track to reshape the global oil market Talk of a petroyuan replacing the petrodollar has been called “premature”, but analysis from CMCRC shows that China’s new crude oil futures contract is exceeding expectation when compared to the established US and European exchanges in key areas.
Finance Research Paper
Information: Author guidelines | Publication ethics Other: Recommend this book series Also available in our: Emerald Business, Management and Economics e Book Series Collection Online access: Online table of contents | Latest Volume RSS seeks to provide a collection of quality research articles that reflect the current and primary issues in financial markets.Minor oversights in data preparation and small software bugs lead to invalid results that can go unnoticed for years.Industry best practices and a more rigorous standard of evidence are required to mitigate these risks and ensure the integrity of ongoing research.As research relies on increasingly complex code that processes orders of magnitude more data, the contemporary academic researcher must play greater roles as software developers and data engineers.However, the existing academic publishing and peer review system do not appear to be well-equipped to evaluate these new roles.A research paper is a form of academic writing that requires independent investigation of the indicated subject and analyse the unique outcomes of that investigation.A finance researcher is mainly responsible for exploring, analyzing, interpreting and presenting data related to markets, operations, finance/accounting, economics, customers, and other information related to the finance field.Finance Research is typically very quantitative, analytical, logical, and you should be good at managing numbers and data.It presumes methodical search, collection, and analysis of information in order to form the right decisions.Yet to the best of my knowledge, there are no finance journals that have professional software developers review submitted code.Most finance journals still either don’t have or don’t enforce code submission and open publishing standards — an asinine move that both increases the uncertainty of the results as well as slows the progress of future research.