Financial
This code implements a novel family of generalized exponentiated gradient (EG) updates derived from an Alpha-Beta divergence regularization function. Collectively referred to as EGAB, the proposed updates belong to the category of multiplicative gradient algorithms for positive data and demonstrate considerable flexibility by controlling iteration behavior and performance through three hyperparameters: alpha, beta, and the learning rate eta. To enforce a unit l1 norm constraint for nonnegative weight vectors within generalized EGAB algorithms, we develop two slightly distinct approaches.
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Since the beginning of 2021, BYD has traded in a choppy $20/sh range, and it is now in the bottom of that range. Over that period, BYD has been steadily repurchasing its shares and has reduced its total share count by 15%. It has also reduced its debt from $4.0bn to $2.9bn, or net leverage of just 2.5x (including leases). All of this, while continuing to invest in its properties. On an enterprise level, BYD trades at 6.5x EBITDAR and a mid-teens% FCF yield to the equity. When backing out the value of its stake in FanDuel and the implied value of its Las Vegas Locals segment, BYD’s regi
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61 Views
Recommend buying BFH ($69 price target, 54% upside) as one of the few remaining mispriced assets within financials. Credit is stabilizing, capital is significant and growing, the CFPB late fee rule1 (and the accompanying short thesis) is dead for now, and the 20%+ ROTCE profile at a sub-TBV valuation are a tantalizing combination. BFH is entering a new era. With the rehabilitation of credit and capital complete, we see the company pivoting back to growth, showing improving returns, and delivering upside to consensus estimates.
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35 Views
This study utilizes the annual loan ledger data obtained from a commercial bank located in Jiangsu Province, China, which is called ChinaZJB. The ChinaZJB dataset consists of 1,329 valid samples of SMEs after merging the non-financial behavioral information and soft information on credit rating with the financial information, loan information, and non-financial basic information found in the annual loan ledger data.
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298 Views
This dataset contains the SPX call and put option data from 16/09/2022 to 08/09/2023 with different strike prices ranges from 3500 to 4500 with an interval 100. The data for options with different strike prices are listed in different sheets. The price data of call and option options are listed togather in one row, including the date, price, volume and interest rate.
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ABSTRACT Analysis of stock prices has been widely studied because of the strong demand among private investors and financial institutions. However, it is difficult to accurately capture the factors that cause fluctuations in stock prices, as they are affected by a variety of factors. Therefore, we used non-harmonic analysis, a frequency technique with at least to more accurately than conventional analysis methods, to visualize the periodicity of the Nasdaq Composite Index stock price from January 4, 2010 to September 8, 2023.
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This study analyzes the spending of Brazilian municipalities on health using an approach based on computational intelligence. The study was characterized by a quantitative and documentary database, and 117 municipalities with an average population between 2004 and 2019 of more than 100,000 inhabitants were analyzed. The data was obtained from the Brazilian Finance database (Finbra) (National Treasury Secretariat) and processed and adjusted for inflation. The main technique used was cluster analysis via R software, version 3.3.3.
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142 Views
This study investigates whether the ingredients listed on restaurant menus can provide insights into a city's socioeconomic status. Using data from an online food delivery system, the study compares menu items with local education rates and rental prices. A machine learning model is developed to predict menu prices based on ingredients and socioeconomic factors. An efficiency metric is proposed to cluster restaurants to address autocorrelation, comparing ingredient averages to socioeconomic indicators.
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223 Views
The dataset tracks the performance of eight stock market indices, from six countries. The indices are: IPC, S\&P 500, DAX, DJIA, FTSE, N225, NDX, and CAC. The time period is from the 1st of June 2006 to the 31st of May 2023.The index and the FX data are sourced from Yahoo Finance, and the rest of the variables are retrieved from the OECD.
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1179 Views
In general,the scale of a network is primarily measured by its number of nodes and edges. But we generated six data tables for each chain, with increasing scale (100, 1000, 5000, 10000, 50000, 100000) and time, based on the number of transitions. Significantly, the fetched data, being in CSV format, cannot be directly used for analysis. Therefore, it was necessary for this study to process the data and employ Pajek-formatted files for graph storage [19]. The subsequent data utilized in this research has been preprocessed into Pajek format.
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67 Views