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IEEE Potentials, 2001
The author discusses his involvement in developing computational finance software. These computational finance models attempt to model the randomness of a stock's price. At a fixed future time, a stock's price is modeled as a random variable with a normal distribution centered about the current price adjusted with a simple growth multiplier.
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The author discusses his involvement in developing computational finance software. These computational finance models attempt to model the randomness of a stock's price. At a fixed future time, a stock's price is modeled as a random variable with a normal distribution centered about the current price adjusted with a simple growth multiplier.
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A Model of Corporate Financing Decisions
The Journal of Finance, 1977IN THIS PAPER, an integrated model of corporate financing patterns is presented. The model draws on the current theory of optimal capital structure, but places this theory in the context of the overall, ongoing financing decision. Estimates of the model make specific allowance for balance sheet constraints and the interdependent nature of the financing
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The financial landscape in India has undergone significant transformation over the past decade, driven by advancements in technology and the rise of digital financial applications. Traditional financial services have failed to reach the vast segments in rural areas and among micro, small, and medium enterprises (MSMEs).
Namrata Kishnani, Alpa Ghosh
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Namrata Kishnani, Alpa Ghosh
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2020
Computational Finance is becoming increasingly important in the financial industry. It is the necessary complement to apply the theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available.
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Computational Finance is becoming increasingly important in the financial industry. It is the necessary complement to apply the theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available.
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Multi-model Forecasting for Finance
This paper presents a novel approach for forecasting stock prices. Specifically, the approach consists of an ensemble of various deep learning models, namely "multi-model". Each deep learning model produces its own forecast, then all the forecasts are combined into a unique one, according to different strategies and depending on different error metrics.Pellattiero D. J., Candelieri A.
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Predictive Modeling in Finance
Predicting financial stability is crucial for assessing risk and making informed decisions in the financial sector. Accurate predictions can help prevent financial crises and guide strategic planning for companies and investors. Various machine learning algorithms have been employed to enhance prediction accuracy for economic distress, including XGB ...Chinthapatla Pranay Varna +4 more
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Multifractal Models in Finance
2018This chapter provides an overview over the recently developed so-called multifractal (MF) approach for modeling and forecasting volatility. For analysts and policy makers, volatility is a key variable for understanding market fluctuations. Analysts need accurate forecasts of volatility for tasks such as risk management, as well as option and futures ...
Thomas Lux, Mawuli Segnon
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Financing Integrated Care Models
2017The idea that addressing behavioral health issues will generate sufficient cost savings in the general medical sector to reduce overall health care spending is a poignant argument for integrating primary care and behavioral health care programs. The enactment of recent health care legislation, particularly the Mental Health Parity and Addiction Equity ...
Bruce J. Schwartz +2 more
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Administrative and Financing Models
2018Advancements in medicine have led to increased survival rates of children with chronic and complex medical problems (Stern and Markel, Formative years: Children’s health in the United States, 1880–2000. University of Michigan Press, Ann Arbor 2002; Lorenz, Clin Perinatol 27(2):255–262, 2000; Srivastava R, Stone B, & Murphy N. Pediatr Clin N Am, 52:1165–
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International Review of Financial Analysis, 2003
Abstract Quantitative models in the social science of finance such as the Capital Asset Pricing Model (CAPM) and the Black–Scholes Option Pricing Model (OPM) are metaphors. They cannot be applied literally, but do provide us with figurative knowledge—an epistemologically meaningful form that might legitimately be called a “useful framework,” as the ...
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Abstract Quantitative models in the social science of finance such as the Capital Asset Pricing Model (CAPM) and the Black–Scholes Option Pricing Model (OPM) are metaphors. They cannot be applied literally, but do provide us with figurative knowledge—an epistemologically meaningful form that might legitimately be called a “useful framework,” as the ...
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