Indian_IPO_datasets / README.md
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Codes: https://github.com/sohomghosh/Indian_IPO

Main Files

ipo_mainline_final_data_v18.xlsx and SME_data_final_v11.xlsx are the main files containing all the relevant features.

These files contain the following columns. NOTE: P = Presence (B= Both, M = Main Board, S = SME), T = Type of variable (I = Independent Variable i.e. Features, D = Dependent Variable i.e. Target)

P T Column Name Description
B I mapping_key Unique key for identifying each IPO
B I Company Name Name of the company going for IPO in short
B I Issuer Company Full Name of the company going for IPO
B I url URL corresponding to the company's IPo in chittorgarh.com
B I subscription_link URL to access the subscription information
M I Subscription Dates Dates on which IPO can be subscribed
B I NSE_symbol Ticker of the company in NSE
B I Total Issue Size Total monetary value of all shares being offered to the public
B I Offer for Sale Value of shares being offered for sale
B I Issue Type Fixed Price Issue or Book Building Issue
B I Listing Date Day on which IPO will get listed
B I Price Band The range of prices within which investors can bid for shares
B I Industry Industry of the company
B I Sector Sector of the company
B I IPO Date Duration for subscribing the IPO
B I Close Date Last day for IPO subscription
B I Close Year Year of the last day for IPO subscription
B I Close Year Previous One year before the year of the last day for IPO subscription
M I Exchange NSE or BSE
M I Issue Size (Rs Cr.) Total shares that a company proposes to offer
B I Final_Issue_Price Final Issue price of the company (on NSE for Main Board) (on BSE/NSE for SME whichever available)
S I BSE_Final_Issue_Price Issue price of the IPO on BSE
S I NSE_Final_Issue_Price Final Issue price of the SME IPO on NSE
B I Fresh Issue Value of shares being freshly issued
M I Lot Size Minimum number of shares that an investor must bid for
M I Open Date Date when IPO will be opened for subscription
B I _assets Asset of the company as on nth day
B I _net worth Net worth of the company as on nth day
B I _profit after tax Profit after tax of the company on the nth day
B I _reserves and surplus Reserves and surplus of the company on the nth day
B I _revenue Revenue of the company on the nth day
B I _total borrowing Total borrowing of the comany on the nth day
B I _total income Total income of the company on the nth day
B I 1 day before Close Day Date before 1 day before the last day for IPO subscription
B I 1 month before Close Day month number Month number of the month which is 1 month before the last day of IPO subscription
B I 1 month before Close Day year number Year of the month which is 1 month before the last day of IPO subscription
B I 1 week before Close Day week number Week number of the week which is 1 week before the last day of IPO subscription
B I 1 week before Close Day year number Year of the week which is 1 week before the last day of IPO subscription
B I Basis of Allotment Date when the final allocation of shares in an Initial Public Offering (IPO) is disclosed to investors.
B I Brokers_Avoid Number of top Brokers & Analysts who recommended to avoid the IPO
B I Brokers_Neutral Number of top Brokers & Analysts with neutral recommended for the IPO
B I Brokers_Subscribe Number of top Brokers & Analysts who recommended to subscribe for the IPO
B I Members_Avoid Number of Members who recommended to avoid the IPO
B I Members_Neutral Number of Members with neutral recommended for the IPO
B I Members_Subscribe Number of Members who recommended to subscribe for the IPO
B I Face Value per share Face value of a share
B I Credit of Shares to Demat Date on which shares would be credited to the demat account
B I Cut-off time for UPI mandate confirmation Time by which an investor must approve the UPI mandate request
B I day__date Date of day n
B I day__bNII (bids above 10L) Subscriptions by big Non-Institutional Investors on day n
B I day__emp Subscriptions by employees on day n
B I day__nii Subscriptions by Non-Institutional Investors (NII) on day n
B I day__nii* Subscriptions by other type of Non-Institutional Investors (NII*) on day n
B I day__other Subscriptions by others on day n
B I day__qib Subscriptions by Qualified Institutional Buyers (QIB) on day n
B I day__retail Subscriptions by Retail Investors on day n
B I day__total Total subscriptions on day n
B I Retail (Max)_Amount Maximum application amount for Retailers
B I Retail (Max)_Lots Maximum number of lots that a Retailers must apply for
B I Retail (Max)_Shares Maximum number of shares that a Retailers must apply for
B I Retail (Min)_Amount Minimum application amount for Retailers
B I Retail (Min)_Lots Minimum number of lots that a Retailers must apply for
B I Retail (Min)_Shares Minimum number of shares that a Retailers must apply for
M I B-HNI (Min)_Amount Minimum application amount for Big High Net-worth Individuals (B-HNIs)
M I B-HNI (Min)_Lots Minimum number of lots that a B-HNI must apply for
M I B-HNI (Min)_Shares Minimum number of shares that a B-HNI must apply for
M I S-HNI (Max)_Amount Maximum application amount for Small High Net-worth Individuals (S-HNIs)
M I S-HNI (Max)_Lots Maximum number of lots that a S-HNI must apply for
M I S-HNI (Max)_Shares Maximum number of shares that a S-HNI must apply for
M I S-HNI (Min)_Amount Minimum application amount for S-HNI
M I S-HNI (Min)_Lots Minimum number of lots that a S-HNI must apply for
M I S-HNI (Min)_Shares Minimum number of shares that a S-HNI must apply for
S I HNI (Min)_Amount Minimum application amount for High Net-worth Individuals (HNIs)
S I HNI (Min)_Lots Minimum number of lots that a HNI must apply for
S I HNI (Min)_Shares Minimum number of shares that a HNI must apply for
B I Share Holding Post Issue Distribution of ownership stakes in a company post IPO
B I Share Holding Pre Issue Distribution of ownership stakes in a company pre IPO
B I Stocks traded, total value (% of GDP) Value of stock traded as % of GDP in the year prior to IPO
B I dhrp_rhp_links Links for DHRP, RHP, Anchor Investor files
B I dhrp_rhp_links_pdf Links for DHRP, RHP, Anchor Investor pdf files
B I most_relevant_link Link to download prospectus. Preference is given to RHP followed by DRHP and Anchor Investor files.
B I File_Rename_1st Name of downloaded PDF file. Preference is given to RHP followed by DRHP and Anchor Investor files
B I Text_extracted_JSON Pagewise texts extracted from the PDF in json format
B I full_text_content Text content related to the IPO obtained from chittorgarh.com
B I news_content List of news relating to the company's IPO
B I news_headline List of news headlines relating to the company's IPO
B I news_synopsis List of news synopsis relating to the company's IPO
B I news_url List of urls corresponding to the news relating to the company's IPO
B I Chg%_nifty50_daily Change in nifty 50 index during the day previous to the Close Date
B I Chg%_nifty50_monthly Change in nifty 50 index during the month previous to the Close Date
B I Chg%_nifty50_weekly Change in nifty 50 index during the week previous to the Close Date
B I Chg%_vix_daily Change in vix index during the day previous to the Close Date
B I Chg%_vix_monthly Change in vix index during the month previous to the Close Date
B I Chg%_vix_weekly Change in vix index during the week previous to the Close Date
B I Open_nifty50_daily Opening Price of nifty 50 index during the day previous to the Close Date
B I Open_nifty50_monthly Opening Price of nifty 50 index during the month previous to the Close Date
B I Open_nifty50_weekly Opening Price of nifty 50 index during the week previous to the Close Date
B I Open_vix_daily Opening Price of vix during the day previous to the Close Date
B I Open_vix_monthly Opening Price of vix during the month previous to the Close Date
B I Open_vix_weekly Opening Price of vix during the week previous to the Close Date
B I High_nifty50_daily Highest value of nifty 50 index during the day previous to the Close Date
B I High_nifty50_monthly Highest value of nifty 50 index during the month previous to the Close Date
B I High_nifty50_weekly Highest value of nifty 50 index during the week previous to the Close Date
B I High_vix_daily Highest value of vix index during the day previous to the Close Date
B I High_vix_monthly Highest value of vix index during the month previous to the Close Date
B I High_vix_weekly Highest value of vix index during the week previous to the Close Date
B I Low_nifty50_daily Lowest Price of nifty 50 index during the day previous to the Close Date
B I Low_nifty50_monthly Lowest Price of nifty 50 index during the month previous to the Close Date
B I Low_nifty50_weekly Lowest Price of nifty 50 index during the week previous to the Close Date
B I Low_vix_daily Lowest Price of vix during the day previous to the Close Date
B I Low_vix_monthly Lowest Price of vix during the month previous to the Close Date
B I Low_vix_weekly Lowest Price of vix during the week previous to the Close Date
B I Price_nifty50_daily Closing Price of nifty 50 index during the day previous to the Close Date
B I Price_nifty50_monthly Closing Price of nifty 50 index during the month previous to the Close Date
B I Price_nifty50_weekly Closing Price of nifty 50 index during the week previous to the Close Date
B I Price_vix_daily Closing Price of vix during the day previous to the Close Date
B I Price_vix_monthly Closing Price of vix during the month previous to the Close Date
B I Price_vix_weekly Closing Price of vix during the week previous to the Close Date
B I Volume_nifty50_daily Volume traded in nifty 50 during the day previous to the Close Date
B I Volume_nifty50_monthly Volume traded in nifty 50 during the month previous to the Close Date
B I Volume_nifty50_weekly Volume traded in nifty 50 during the week previous to the Close Date
B I dynamic_last_90Day_success_close Average success rate calculated using close price in the last 90 days prior to ipo close day
B I dynamic_last_90Day_success_high Average success rate calculated using high price in the last 90 days prior to ipo close day
B I dynamic_last_90Day_success_open Average success rate calculated using open price in the last 90 days prior to ipo close day
B I previous_quarter Quarter before the Close Date
B I previous_quarter_success_close Average success rate calculated using close price in the previous calendar quarter
B I previous_quarter_success_high Average success rate calculated using high price in the previous calendar quarter
B I previous_quarter_success_open Average success rate calculated using open price in the previous calendar quarter
B I Foreign direct investment, net (BoP, current US$) Net Foreign Direct Investment happend in the year prior to IPO
B I Foreign direct investment, net inflows (BoP, current US$) Net inflow from Foreign Direct Investment happend in the year prior to IPO
B I GDP (current US$) GDP of India in the year prior to IPO
B I GDP growth (annual %) Annual growth % in GDP of India in the year prior to IPO
B I GDP per capita growth (annual %) GDP per capita growth as annual % in the year prior to IPO
B I GNI (current US$) Gross National Income in the year prior to IPO
B I GNI per capita growth (annual %) Gross National Incom per capita growth as annual % in the year prior to IPO
B I Inflation, consumer prices (annual %) Inflation rate in the year prior to the IPO
B I Personal remittances, received (% of GDP) Received personal remittances as % of GDP on the year prior to IPO
B I Initiation of Refunds Date on which refunds are initiated to the investors who are not allocated any shares
B I Net trade in goods and services (BoP, current US$) Net trade in goods and services in the year prior to the IPO
B I Unemployment, total (% of total labor force) (modeled ILO estimate) Unemployment rate in the year prior to the IPO
B I answer_of_question_ Answer generated using LLM for the nth question. 1<=n<=25
S D BSE_High Highest price of the stock on BSE on the Listing Day
S D BSE_Low Lowest price of the stock on BSE on the Listing Day
S D BSE_Open Opening price of the stock on BSE on the Listing Day
B D BSE_Last_Trade Closing price on BSE of the IPO on the Listing Day
B D NSE_High Highest price of the stock on NSE on the Listing Day
B D NSE_Last_Trade Closing price of the stock on NSE on the Listing Day
B D NSE_Low Lowest price of the stock on NSE on the Listing Day
B D NSE_Open Opening price of the stock on NSE on the Listing Day
S D High Overall highest price of the SME IPO on Lisitng day
S D Last_Trade Overall closing price of the SME IPO on Lisitng Day
S D Low Overall lowest price of the SME IPO on Lisitng Day
S D Open Overall open price of the SME IPO on lisitng day
B D Success_Close Success of the IPO in terms of closing price on the Listing Day
B D Success_High Success of the IPO in terms of highest price on the Listing Day
B D Success_Open Success of the IPO in terms of opening price on the Listing Day
M D elasticity ((open price - issue price)/issue price)/(subscription rate - 1) (It is not used in this study)
M D Total_subscriptions Total subscriptions the IPO received

Files having DeBERTa probabilities

deberta_probabilities/deberta_probabilities_<mb or sme>_success_<open or high or close>.csv

Files having probabilities from Machine Learning models trained using Nomic

nomic_embeddings_ml_predictions/<mainboard or sme>_text_feature_predictions.zip

Files having Grey Maret Price (GMP) data

GMP_data/GMP_Mainline_2019_2024YTD_Investorgrain_CLEAN.xlsx, GMP_SME_2019_2024YTD_Investorgrain_CLEAN_v2.xlsx

Files having raw text extracted from DRHP/RHP PDFs

texts_extracted_from_pdfs/ipo_mainline_txts_extracted.zip, texts_extracted_from_pdfs/ipo_sme_txts_extracted.zip

List of questions asked while leveraging the Retrieval-Augmented Generation (RAG) framework

questions/questions_to_ask_rhp.csv

@misc{ghosh2024experimentingmultimodalinformationpredict,
      title={Experimenting with Multi-modal Information to Predict Success of Indian IPOs}, 
      author={Sohom Ghosh and Arnab Maji and N Harsha Vardhan and Sudip Kumar Naskar},
      year={2024},
      eprint={2412.16174},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.16174}, 
}