# FinStress: Real-time Perceptions of Financial Market Stress
*British Journal of Political Science*
Christopher Gandrud and Mark Hallerberg
## What
Indicator of real-time perceptions of financial market stress based on machine
classification of [Economist Intelligence Unit](http://www.eiu.com/) monthly
country reports.
Currently the Index is estimated for all EIU countries from 2003 through 2011.
## About
Responding to financial market disruptions is a defining challenge for policymakers and a central topic of political research. Yet established measures of financial conditions have significant shortcomings. Annual binary crisis variables limit our ability to explore non-linear relationships and the political effects of rapidly changing conditions. Continuous indicators have their own flaws in operationalization and reproducability. We create a continuous measure of real-time perceived stress using a kernel principal component analysis (KPCA) of *Economist* monthly country reports. We demonstrate the usefulness of our measure by showing that it more accurately captures the effect of financial market stress levels on electoral volatility. We also show how KPCA can be used to efficiently summarize large quantities of texts into cross-sectional time-series variables.
## Preview
The following figure shows a selection of financial market stress perceptions scores (solid grey lines). It also compares these scores to other measures of financial market stress and crisis. Dashed lines show Romer and Romer (2015). Red boxes are for Reinhart and Rogoff (2009). Yellow boxes are for Laeven and Valencia (2013).
![perceptions index plot](perceptions_compare.png)
## Download
To download the development version of the Index into R use:
```{S id:"j1bvfiw5"}
URL <- 'https://raw.githubusercontent.com/christophergandrud/EIUCrisesMeasure/master/data/FinStress.csv'
finstress_index <- rio::import(URL)
```
The primary indicator is labelled: `FinStress`. See the
[paper](https://github.com/christophergandrud/EIUCrisesMeasure/blob/master/summary_paper/summary_paper.pdf)
describing the Index for more details.
## Reproduction
This directory contains the following reproduction material:
- *summary_paper/analysis*: source code for further analysis of the FinStress
Index including using it as a right-hand side variable in
explorations of political phenomenon as well as comparing it to
other measures of crisis and financial market stress.
- *source*: replication material for creating the FinStress Index
of real-time perceptions of financial market stress. The directory
also contains alternative specifications and robustness analyses
discussed in the Online Appendix.
- *data*: replication data, including the full FinStress Index
(*FinStress.csv*).
### Notes
- The raw *Economist Intelligence Unit* texts are not included with this
reproduction material due to copyright restrictions.
- You will likely need to change the working directories and introduce
appropriate files to output figures and tables in order to reproduce the
contents of these files.
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使用内核 PCA 测量的金融市场压力的实时感知_TeX_代码_相关文件_下载
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csv:33个
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应对金融市场动荡是政策制定者面临的一项决定性挑战,也是政治研究的核心课题。然而,既定的金融状况衡量标准存在重大缺陷。年度二元危机变量限制了我们探索非线性关系和快速变化条件的政治影响的能力。连续指标在可操作性和可重复性方面有其自身的缺陷。我们使用Economist的核主成分分析 (KPCA) 创建实时感知压力的连续测量每月国家报告。我们通过表明它更准确地捕捉金融市场压力水平对选举波动性的影响来证明我们的衡量标准的有用性。我们还展示了如何使用 KPCA 将大量文本有效地总结为横截面时间序列变量。 更多详情、使用方法,请下载后阅读README.md文件
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使用内核 PCA 测量的金融市场压力的实时感知_TeX_代码_相关文件_下载
(147个子文件)
main.bib 28KB
results_kpca_3_rescaled.csv 2.67MB
results_kpca_5_rescaled.csv 2.67MB
results_kpca_4_rescaled.csv 2.67MB
results_kpca_6_rescaled.csv 2.67MB
results_kpca_rescaled.csv 2.64MB
results_kpca_5_raw.csv 2.64MB
results_kpca_4_raw.csv 2.64MB
results_kpca_6_raw.csv 2.64MB
results_kpca_3_raw.csv 2.63MB
results_kpca_raw.csv 2.58MB
results_kpca_5_rescaled.csv 1.54MB
results_kpca_5_raw.csv 1.5MB
fin_frag_gfdd.csv 818KB
pca_bag_1stComponent.csv 605KB
FinStress.csv 589KB
kpca_5_c2_cleaned.csv 589KB
FinStress.csv 557KB
reinhart_rogoff.csv 398KB
laeven_valencia_banking_crisis.csv 49KB
random_forest_var_imp_C2.csv 33KB
random_forest_var_imp_C1.csv 33KB
C1_stem_correlations.csv 30KB
random_forest_var_imp_C2.csv 27KB
random_forest_var_imp_C1.csv 27KB
C1_stem_correlations.csv 25KB
rommer_romer.csv 18KB
laeven_valencia_start_end.csv 4KB
kpca_3_eigen_10.csv 246B
kpca_eigen_10.csv 244B
kpca_6_eigen_10.csv 244B
kpca_5_eigen_10.csv 243B
kpca_4_eigen_10.csv 243B
kpca_5_eigen_10.csv 240B
Financial Fragility Database Stata.dta 275KB
.gitignore 431B
LICENSE 1KB
makefile 318B
max_Ireland_2011-04-01.md 83KB
max_Brazil_2009-04-01.md 42KB
max_Latvia_2010-08-01.md 29KB
max_Iceland_2010-05-01.md 13KB
min_Iceland_2004-06-01.md 6KB
min_Brazil_2005-08-01.md 5KB
min_Latvia_2006-12-01.md 4KB
README.md 2KB
README.md 1KB
README.md 940B
min_Ireland_2004-04-01.md 763B
README.md 3KB
fin_fragility_compare.pdf 417KB
compare_liquid.pdf 68KB
compare_impared.pdf 61KB
rf_partial_dependence.pdf 37KB
compare_to_lv_rr.pdf 33KB
compare_to_lv_rr_short.pdf 33KB
compare_to_lv_rr_2.pdf 32KB
compare_to_pca_1.pdf 28KB
1st_vs_2nd_component_selected.pdf 28KB
compare_to_pca_2.pdf 27KB
compare_jump_to_crisis.pdf 22KB
compare_jump_diffusion_basic.pdf 20KB
election_timing_crisis_comp.pdf 19KB
compare_to_z-score.pdf 14KB
ff_corr_matrix.pdf 8KB
elect_vol_predict.pdf 8KB
us_compare.pdf 6KB
iceland_compare.pdf 6KB
ireland_compare.pdf 6KB
switzerland_compare.pdf 6KB
kazakhstan_compare.pdf 6KB
rf_stem_importance.pdf 6KB
uk_compare.pdf 6KB
greece_compare.pdf 6KB
austria_compare.pdf 6KB
canada_compare.pdf 6KB
rf_variable_imp.pdf 5KB
dev_vs_developing.pdf 5KB
scree_plot.pdf 5KB
summary_paper.pdf 1.06MB
post_elect_loss.pdf 6KB
perceptions_compare.png 87KB
kpca_n_lenth_compare.png 54KB
poll_finstress_data_creator.R 12KB
poll_finstress_explore.R 11KB
graphically_compare_measures.R 10KB
elect_volatility_crisis.R 10KB
jump_diffusion_plots.R 8KB
compare_to_financial_fragility.R 6KB
kernel_eiu.R 6KB
compare_to_z-score.R 4KB
romer_romer_create.R 4KB
z_kernel_random_forest.R 4KB
kpca_eiu_function.R 4KB
preprocess_eiu.R 3KB
developed_vs_developing.R 3KB
finstress_lv_fit_comparision.R 3KB
reinhart_rogoff.R 3KB
random_forest_quant_indicators.R 3KB
kernal_to_stems.R 3KB
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