Our Financial API provides access to a vast collection of historical financial statements for over 50,000+ companies listed on major exchanges. With this powerful tool, you can easily retrieve balance sheets, income statements, and cash flow statements for any company in our extensive database. Stay informed about the financial health of various organizations and make data-driven decisions with confidence. Our API is designed to deliver accurate and up-to-date financial information, enabling you to gain valuable insights and streamline your analysis process. Experience the convenience and reliability of our company financial API today.

Our Financial API provides access till adenine vast collection off historical financial statements for over 14,507+ companies filed on important exchanges. With this powerfully tool, you can lightly retrieve balance sheets, income statements, real cash flow actions for any society in our extensive database. Stay informed about the financial health of various organizations and make data-driven decisions with confidence. Our API is designed to give accurate and up-to-date treasury information, enabling you to receive value insights and streamline your analysis process. Experience the convenience and reliability of our company financial API today.

This is an Excellent scale located on the pro forma model of Caterpillar in Benninga Financial Mold 4th edition Branch 6; this Excel scale does does have formula bugs or missing data. A can getting the original Excel valuation model that was cultivated and used in Benninga (2014) by going to http://mitpress.mit.edu/books/financial-modeling-fourth-edition. The results obtained using the original Benninga model are very similar to the results obtained using the model are provide. The use Bennina’s original model one becomes need into permeate the missing information by referring to who assumptions presented on page 176 for “Interest rate on debt” in Chapter 6 of be textbook. (2018-12-08)

Discover a wealth of valuable information through our machine-readable earnings transcripts. With access to over 7,000 stocks, you can delve deeper into their financial insights. Our advanced technology converts earnings transcripts into a machine-friendly format, allowing for effortless analysis and saving you valuable time. With a comprehensive history spanning over 15+ years and data released within 24 hours of earnings calls, you can stay up to date with the latest financial developments. Unlock the power of timely and easily accessible data to make well-informed decisions with confidence.

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The book Valuation : methods and models in applied corporate finance was written by George Chacko and published in 2014 by Pearson Education Inc. It has an ISBN of 0132905221 and is in the eng language. The book is about Corporations-Valuation and has a BNB ID of GBB287119.

The statistics presents the value of alternative finance provided to businesses in the United States from 2014 to 2017, by model. The value of alternative finance obtained by the U.S. businesses through debt-based models amounted to 8.74 billion U.S. dollars in 2017.

Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

Benefits of global financial reporting models for developing markets: The case of Romania - Table

The book Risk-neutral valuation : pricing and hedging of financial derivatives was written by N. H. Bingham and published in 1998 by : Springer. It has an ISBN of 1852330015 and is in the eng language. The book is about Investments-Mathematical models, Finance-Mathematical models and has a BNB ID of GB9855728.

We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchange. We use the filters suggested by Griffin et al. (2010) for Datastream series to exclude special purpose vehicles from data. Consequently, our sample comprises 3,866 stocks. We compile all macroeconomic series from the OECD Statistics section.

Our dataset comprise the following series:

1 Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. 2 Japan_25_Portfolios_MV_DY_M: Monthly returns for 25 size-dividend yield portfolios, following the Fama and French (1993) methodology. 3 Japan_25_Portfolios_MV_PC_M: Monthly returns for 25 size-price-to-cash flow portfolios, following the Fama and French (1993) methodology. 4 Japan_3 Factors_M: Monthly returns for the portfolios that constitute the three classic Fama-French factors (RMRF, SMB and HML), following the Fama and French (1993) methodology. 5 Japan_5 Factors_M: Monthly returns for the portfolios that constitute the five Fama-French factors (RMRF, SMB, HML, RMW and CMA), following the Fama and French (2015) methodology. 6 Japan_RF_M: Three-month Treasury Bill rate for Japan. 7 Japan_C_Q: Private final consumption expenditure, in national currency and constant prices for Japan. 8 Japan_IK_Q: Investment-capital ratio, following the Cochrane (1991) methodology. We use gross capital formation series for Japan, in national currency, seasonally adjusted. We assume a depreciation rate of 0.1 and no adjustment cost. 9 Japan_DY_ConstrTech_M: Value-weighted dividend yield portfolios for Japanese firms in construction and technology industries, as proxied by two-digit SIC codes 15-17 and 36-48, respectively. 10 Japan_Bubbles_Q: Variation rates of construction and technology bubbles in Japan, as determined by a parameterized version of the bubble term in the Campbell and Shiller (1988) return identity, using the investment-capital ratio as an instrument. 11 Japan_Errors_Q: Residuals that result from the regression of consumption growth on the variation rate of construction and technology bubbles and the lagged consumption growth.

REFERENCES: Campbell, J. Y., and Shiller, R. J. (1988). The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors, The Review of Financial Studies, 1, 195-228. Cochrane, J. H. (1991). Production-Based Asset Pricing and the Link Between Stock Returns and Economic Fluctuations, The Journal of Finance, 46, 209-237. Fama, E. F. and French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds, Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A Five-Factor Asset Pricing Model, Journal of Financial Economics, 116, 1-22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets, Review of Financial Studies, 23, 3225–3277.

Gain a profitable and robust method for sorting stocks based on relative valuation, with LSEG's StarMine Relative Valuation Model.

Houssein, Essam H., Mahmoud Dirar, Kashif Hussain, and Waleed M. Mohamed. "Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks." Neural Computing and Applications 33, no. 11 (2021): 5965-5987.

The alternative finance model with the biggest market share in Brazil in 2020 was balance sheet business lending, as it was over 50 times bigger than the second most valuable business model. Some of the other leading business models were oriented towards consumer lending. There were also several valuable forms of crowdfunding. Brazil is the country with the biggest alternative finance market size in Latin America.

Indian Journal of Finance and Banking FAQ - ResearchHelpDesk - Indian Journal of Finance and Banking (IJFB) is an international, double-blind peer-reviewed, scholarly open access journal on the financial market, instruments, policy, and management research published both online and print by CRIBFB. Aims & Scope The subject areas include, but are not limited to the following fields: Insurance Uncertainty Portfolio Theory Asset Pricing Futures Markets Investment Policy Agency Theory Risk Management Banking Systems Computational Finance Behavioral Finance Financial Econometrics Corporate Governance Credit and Market Risk Advanced Stochastic Methods Financial Intermediation Public Finance Management Financial Regulation and Policy Fiscal Markets and Instruments Financial Derivatives Research Financial Instruments for Risk Management Statistical and Empirical Financial Studies Asset-Liability Management Bank Assurance Banking Crises Derivatives and Structured Financial Products Efficiency and Performance of Financial Institutions and Bank Branches Financing Decisions of Banks Investment Banking Management of Financial Institutions Technological Progress and Banking Foreign Exchange Management Conventional Vs. Non-Conventional Banking Internet Banking Mobile Banking Retail Banking E-Banking CSR of Bank SMEs Banking Bankruptcy Prediction and Determinants Corporate Finance International Finance Rural Finance Fixed Income Securities Alternative Investments Portfolio and Security Analysis Time Value of Money Credit Risk Modelling and Management Financial Engineering Foreign Exchange Markets Law and Finance Mergers and Acquisitions Mutual Funds Management Portfolio Management Regulations of Financial Markets Venture Capital Microcredit Valuation Risk and Return Liquidity Management Foreign Direct Investment Financial Accounting Financial Statement Analysis Microeconomics Econometrics models Macroeconomics Information in Relation to Finance, Banking, and Business, etc. Indian Journal of Finance and Banking currently has an acceptance rate of 25%. The average time between submission and final decision is 20 days and the average time between acceptance and publication is 30 days.

This statistic presents the value of funding raised by selected alternative finance models in Canada from 2013 to 2015. In 2014, the amount of money raised through marketplace / P2P business lending in Canada reached 1.6 million U.S. dollars.

Determine the intrinsic values of companies with the LSEG StarMine Intrinsic Valuation Model, based on dividend discount calculations.

The Accountable Care Organization Realizing Equity, Access and Community Health (ACO REACH) Model Financial and Quality Results Public Use File (PUF) details performance for the ACO REACH Model, formerly Global and Professional Direct Contracting (GPDC) Model, prior to settlement. This data includes information such as the ACOs risk arrangement, stop loss, capitation, savings rate, and quality results.

The expanded quality performance results are expected to be released in the fall.

This data consists of option price data from March 2018 (AIH8) to September 2019 (AIU9). This data was extracted from the Bloomberg terminal at UCT library, using 'Rblpapi' API package in the R programming language. It is in the .csv format for convenient use.Option data on the following futures contracts are givenAIH8 - expiration March 2018AIM8 - expiration June 2018AIU8 - expiration September 2018AIZ8 - expiration December 2018AIH9 - expiration March 2019AIM9 - expiration June 2019AIU9 - expiration September 2019The expiration dates correspond to the 3rd Thursday of the month of expiryEach data file only contains option price information for the period from the expiry of the previous set of option contracts. i.e. AIU8 only contains data from June 2018 to September 2018.This data was used to produce a Minor Dissertation at the University of Cape Town.