dsan5600_finalproject
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: elliotzli
- Language: HTML
- Default Branch: main
- Size: 28.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Project Documentation
Overview
This repository documents an extensive analysis of the impact of the Fed Funds Rate on various sectors of the economy. The study delves into the dynamics of the bond market, stock market, exchange rates, inflation, and unemployment to understand the broader implications of monetary policy adjustments.
Project Structure
```
.
├── README.md
├── quarto.yml
├── _site
│ ├── arimax.html
│ ├── arma.html
│ ├── conclusions.html
│ ├── data
│ │ └── plot
│ │ ├── fed-fund-rate.png
│ │ ├── intro1.jpeg
│ │ └── t-bill-yield-curve.png
│ ├── datasource.html
│ ├── datavis.html
│ ├── deeplearning.html
│ ├── eda.html
│ ├── fin-ts-model.html
│ ├── forecastplot.png
│ ├── forecastplot1.png
│ ├── index.html
│ ├── intro.html
│ ├── search.json
│ ├── sitelibs
│ │ ├── bootstrap
│ │ │ ├── bootstrap-icons.css
│ │ │ ├── bootstrap-icons.woff
│ │ │ ├── bootstrap.min.css
│ │ │ └── bootstrap.min.js
│ │ ├── clipboard
│ │ │ └── clipboard.min.js
│ │ ├── quarto-html
│ │ │ ├── anchor.min.js
│ │ │ ├── popper.min.js
│ │ │ ├── quarto-syntax-highlighting.css
│ │ │ ├── quarto.js
│ │ │ ├── tippy.css
│ │ │ ├── tippy.umd.min.js
│ │ │ └── zenscroll-min.js
│ │ ├── quarto-nav
│ │ │ ├── headroom.min.js
│ │ │ └── quarto-nav.js
│ │ └── quarto-search
│ │ ├── autocomplete.umd.js
│ │ ├── fuse.min.js
│ │ └── quarto-search.js
│ └── styles.css
├── arimax.qmd
├── arma.qmd
├── citation.bib
├── conclusions.qmd
├── data
│ ├── data
│ │ ├── 1-yrs-t-bill-rate.xlsx
│ │ ├── 10-yrs-t-bill-yield.xlsx
│ │ ├── 20-yrs-t-bill-yield.xlsx
│ │ ├── 3-mon-t-bill-rate.xlsx
│ │ ├── 30-yrs-mortgage-rate.xlsx
│ │ ├── 30-yrs-t-bill-yield.xlsx
│ │ ├── 5-yrs-t-bill-rate.xlsx
│ │ ├── 6-mon-t-bill-rate.xlsx
│ │ ├── GDP.xlsx
│ │ ├── consumer-sentiment.xlsx
│ │ ├── cpi-u.xlsx
│ │ ├── dollar-index.xlsx
│ │ ├── fedfunds.xlsx
│ │ ├── sp500.xlsx
│ │ ├── srt-bill-rates.xlsx
│ │ ├── t-bill-vs-econ-index.xlsx
│ │ ├── unemploy.xlsx
│ │ └── usd.xlsx
│ ├── journal
│ │ └── federal-reserve-hls.pdf
│ └── plot
│ ├── fed-fund-rate.png
│ ├── fed.jpg
│ ├── intro1.jpeg
│ ├── resume.png
│ └── t-bill-yield-curve.png
├── datasource.qmd
├── datavis.qmd
├── deeplearning.qmd
├── eda.qmd
├── fin-ts-model.qmd
├── forecastplot.png
├── forecast_plot1.png
├── index.qmd
├── intro.qmd
└── styles.css
14 directories, 74 files ```
This repository contains .qmd files for analysis, a bibliography file, datasets in Excel format, PDF documents for reference, and image files for visualization.
Introduction
The introductory intro.qmd addresses the importance of the risk-free rate in the financial ecosystem, with a focus on the Treasury Bill (T-Bill) interest rate as a benchmark. It also clarifies the role of the Federal Reserve in influencing the Fed Funds Rate, which impacts the yield curve and overall interest rates.
Data Source and Visualization
This section (datasource.qmd and datavis.qmd) covers the datasets used for analysis and the visual representation of our findings.
Exploratory Data Analysis
The EDA process is documented in eda.qmd, which includes a rigorous analysis of the data related to the Fed Funds Rate and its economic implications.
Time Series Modeling
Time series models such as ARIMA, ARIMAX, SARIMA, ARIMAX, and VAR are explored in arma.qmd and arimax.qmd files to forecast and understand the temporal patterns in economic data.
Financial Modeling
These files document arch.qmd and garch.qmd shows the methodologies and results of financial analysis ARCH and GARCH conducted on economic data.
Deep Learning Approaches
deeplearning.qmd explores the use of advanced neural networks to model complex economic interactions.
Conclusions
The conclusions.qmd file synthesizes the insights and findings from the various analyses conducted.
References
Refer to citation.bib for a comprehensive list of all the academic and data sources referenced throughout the project.
Owner
- Login: elliotzli
- Kind: user
- Repositories: 1
- Profile: https://github.com/elliotzli
Citation (citation.bib)
@misc{YieldCurve_data,
author = {{U.S. Treasury Department}},
title = {Daily Treasury Par Yield Curve Rates},
url = {https://home.treasury.gov/resource-center/data-chart-center/interest-rates/TextView?type=daily_treasury_yield_curve&field_tdr_date_value=2023},
}
@article{hls,
author = {{Harvard Law Review}},
title = {Federal reserve interest rate hike on March 22, 2023},
volume = {136},
year = {2023},
number = {7},
pages = {2028--2035},
}
@misc{tbill_ffr,
author = {David Harper},
year = {2023},
title = {Understanding Treasury Yields and Interest Rates},
url = {https://www.investopedia.com/articles/03/122203.asp}
}
@misc{imf,
author = {Tobias Adrian, Rohit Goel, Sheheryar Malik, Fabio Natalucci},
year = {2021},
title = {Understanding the Rise in Long-Term Rates},
url = {https://www.imf.org/en/Blogs/Articles/2021/04/22/blog-understanding-the-rise-in-long-term-rates}
}