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311 to 320 of 691 Results
Data (N225, SGX, SP500).7z
Sep 23, 2024 - Indicator from the graph Laplacian of stock market time series cross sections can precisely determine the durations of market crashes
Compressed Archive - 3.8 GB - MD5: 61211c31ae7a5fa3b9bc0622ab79b3a4
Ultrametric distance matrices for S&P 500, Nikkei 225 and SGX (whole market) The .dat ultrametric distance files are processed from Yahoo Finance stock price return's cross-correlation data. The files are grouped by markets (S&P 500, Nikkei 225 and the whole SGX market), by time...
Data (TWSE).7z
Sep 23, 2024 - Indicator from the graph Laplacian of stock market time series cross sections can precisely determine the durations of market crashes
Compressed Archive - 6.8 GB - MD5: bcf13c5ba12eb1afa1361caa750ce777
Ultrametric distance matrices for TWSE (whole market) The .dat ultrametric distance files are processed from Yahoo Finance stock price return's cross-correlation data. The TAIEX index (tracking the entire TWSE market) has about 900-1000 stocks, twice the number of constituents o...
README.txt
Sep 23, 2024 - Indicator from the graph Laplacian of stock market time series cross sections can precisely determine the durations of market crashes
Plain Text - 4.7 KB - MD5: dd06d65f5edaa472e3c36040bd5384fc
Documentation
Detailed dataset description for reader's reference.
Dates.npy
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Unknown - 21.7 KB - MD5: 823b43c6b5f8b6dab78b29c139574d38
FGStNE.npy
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Unknown - 1.9 KB - MD5: 2ebf4e4dd8e94ecd5f7e81fb19df7b08
FHStNE.npy
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Unknown - 1.9 KB - MD5: 95021a2fe9c5b727d49542f4c44dbbd5
FIStNE.npy
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Unknown - 1.9 KB - MD5: df340dedb1576a0df0ca74c28daa9a71
FWStNW.npy
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Unknown - 1.9 KB - MD5: e59dbc700bb17783dfb165134234d480
HStNEBusinessSpectra.py
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Python Source Code - 1.3 KB - MD5: af0d6a6d2272c1077077fa972c298987
HStNEMonthlySales.py
Jul 9, 2024 - Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC
Python Source Code - 498 B - MD5: 88c657943299f8b5f09d373fd70facf7
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