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Your search keyword '"LONG-TERM DEBT"' showing total 8 results
Start Over Descriptor "LONG-TERM DEBT" Publication Type eBooks
8 results on '"LONG-TERM DEBT"'

3. The Effect of Long-Term Debt and Operating Cash Flow on Investment Opportunities

Author

Putra, Ardian Prima, Sari, Pristin Prima, Damanik, Johannes Maysan, Appolloni, Andrea, Series Editor, Caracciolo, Francesco, Series Editor, Ding, Zhuoqi, Series Editor, Gogas, Periklis, Series Editor, Huang, Gordon, Series Editor, Nartea, Gilbert, Series Editor, Ngo, Thanh, Series Editor, Striełkowski, Wadim, Series Editor, and Setiawan, Budi, editor

Published
2023
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8. Mathematical Finance with Applications.

Author

Wong, Wing-Keung, Guo, Xu, Lozza, Sergio Ortobelli, and Wong, Wing-Keung

Subjects
Coins, banknotes, medals, seals (numismatics), CVaR, CVaR estimation, Chinese stock market crash, ES, OLS and ridge regression model, PSG, US financial crisis, VaR, applications, artificial neural network, auto-regressive integrated moving average, bivariate first-degree stochastic dominance (BFSD), capital structure, causality tests, chi-square test, cluster analysis, conditional value-at-risk, copulas, correlation loving (CL), density functions, dependence structures, deviation, distribution functions, equity index networks, equity option pricing, error, expected shortfall, factor models, finance, financial models, firm performance, hedge ratios, investment home bias (IHB), jumps, keeping up with the Joneses (KUJ), leverage, linear programming, linear regression, long-term debt, machine learning, mathematics, minimization, multi-factor model, optimal weights, portfolio safeguard, probability, python, quadrangle, quantile, quotient of random variables, regression, regret, return spillover, risk, risk factors, shock spillover, statistics, stochastic process-geometric Brownian motion, stochastic volatility, stock price prediction, superquantile, volatility spillover
Abstract

Summary: Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the analysis of empirical, real-world data. For example, mathematics, probability, and statistics could help to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.

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