financial modelling
金融工程经典书籍
金融工程经典书籍1.Futures, Options and other derivatives--John Hull这本书被称为“华尔街圣经”,不管是找工作还是senior quant都会用到。
John Hull 非常厉害,各个方面都有开创性的成果。
2.Arbitrage theory in continuous time--Tomas Bjork这本书非常适合数学/物理背景的人读,注重数学理论的培养。
3.Financial Calculus--Martin Baxter& Rennie非常薄但是elegant的一本书,1996年,算是比较早了,但是和Hull的书齐名。
4.Financial calculus for finance I II--ShreveShreve的书,非常elegant,非常仔细,适合有数学背景的人读。
I是讲离散模型,II是讲连续模型。
5.Martingale methods in Financial modelling--Musiela & Rutkovski6. Brownian motion and stochastic calculus--Shreve& Karasatz7.Stochastic differential equations--Oksendal8.Stochastic integration and differential equations--Protter9.Numerical analysisJunior quant:10.Concepts and practice of Mathematical Finance--Mark Joshi非常适合刚入行的quant,对于学生不推荐。
非常实用,作者非常聪明。
11. C++ design patterns and derivatives pricing--Mark Joshi对于懂得C++基础的人来说很重要,更重要的是教你学会Monte Carlo。
FINC6019_Financial Modelling_2010 Semester 1_FINC6019_Financial Modelling_UoSOutline
FINC6019Financial ModelingSemester 1, 2010 Unit of Study OutlineCoordinator: Mr. Hamish MallochPhone: 02 9036 6273,Email:hamish.malloch@.auOffice:Merewether, Room 458Consultation Times:Thursday 4-5 pm. Other times by appointment (e-mail preferred).Classes:Time:Wednesdays 6-9 pm Venue:Carslaw Room 2511.Unit of study information1.1.Faculty Handbook descriptionIt is important for practitioners of finance, at all levels, to be able to evaluate the applicability of a range of models for a given problem and to effectively implement and use the model that is selected. This unit will present methods for model design, implementation and evaluation in the context two fundamental financial models; the discounted cash flow valuation model and the portfolio selection model. Spreadsheet engineering methods for designing, building, and testing spreadsheet models and for performing model-based analysis will be presented. There will be a concise coverage of optimization, sensitivity analysis and simulation featuring a strong spreadsheet orientation and a modelling emphasis.1.2.Aims and contextThe aims of this unit are for students to develop a deeper understanding of financial models, specifically corporate valuation, portfolio and options pricing models. The students will also obtain an understanding of good model design, model implementation and spreadsheet engineering skills, issues with financial data and its impact on the modelling procedure, and the use of techniques such as simulation to test and validate models. Emphasis throughout the course will also be placed on the appropriateness of models used.2.Learning outcomes, learning and teaching activities & assessment2.1.Intended learning outcomesAt the end of this course the student will be able to:∙Apply the principles of model building and implementation to solve problems related to corporate valuation, portfolio construction and options pricing.∙Ascertain the appropriateness of a particular model for its application.∙Understand and be able to deal with issues pertaining to the use of financial data.∙Develop spreadsheet skills.∙Work effectively in a group environment.2.2. Learning and teaching activitiesClass sessions will typically involve a 2-hour lecture followed by a 1-hour workshop/tutorial session. The lectures will introduce and explain the material and highlight important concepts. You are expected to have made a serious attempt at all workshop questions prior to classes and participation in class discussions is encouraged. You may find some of the workshop questions quite challenging. Struggling with this challenge is a necessary part of gaining real understanding.Required text:“Financial Modeling” (3rd edition) by Simon Benninga. Published 2008 by MIT Press.It is important that the 3rd edition is used as older editions will not be up to date with features of excel and finance theory.Recommended texts (purchase not required):“Valuation: The Art and Science of Corporate Investment Decisions” by Sheridan Titman and John D. Martin. Published 2008 by Pearson-Addison Wesley.“Principles of Finance with Excel” by Simon Benninga. Published 2006 by MIT Press.“Excel Modeling and Estimation in Corporate Finance” (3rd Edition) by Craig W. Holden. Published 2009 by Pearson-Prentice-Hall.“Options, Futures and Other Derivatives” (4th Edition) by John Hull, Published 2000 by Prentice Hall.2.3. AssessmentWorkshop questions will be posted on Blackboard prior to class. Questions will be related to the previous weeks lecture. It is important to attempt questions before class – solutions and feedback will be provided in labs.2.4. Assessment detailsThere are three assessments in this subject:∙ A laboratory exam covering the modelling of free cash flows and portfolio construction from the first 6 weeks of the course. This will take place in the laboratory after the lecture in teaching week7. Students will be required to submit their spreadsheets for marking electronically.∙ A group assignment covering material from the second half of the course which is to be completed by the end of semester. Students are to form groups of 4-5. Material covered will include options valuation, portfolio construction and simulation.∙The final exam covers all material in the course. It will be based around theory and some numerical analysis learned throughout the course.2.5. Workload and minimum requirementsAcademic Board guidelines state that one credit point equates to approximately 1.5 to 2 hours of student effort per week for a typical 13 week semester. This means that if you are an average student seeking to get an average result for this unit then you should plan to spend at least 9 hours each week on learning. The minimum requirement for completion of the unit is to attempt all assessable activities and achieve a pass grade overall.Criteria for the overall assessment and your final total grade for the course:PASS – Demonstrate knowledge and understanding of facts and principles. Be able to apply concepts and principles in new situations.CREDIT – All criteria for a pass in course, plus: demonstrate analytical skills, that is be able to distinguish, classify and relate the assumptions, hypotheses, evidence, or structure of statements and questions within the framework of the subject matter.DISTINCTION – All criteria for a credit plus: demonstrate the ability to originate, integrate and combine ideas into work that constructs a unique view of the subject matter.HIGH DISTINCTION – All criteria for a distinction, plus: students show the ability to appraise, assess or critique ideas and evidence in the subject area using reasoned judgement against articulated standards.2.6. FeedbackStudents will receive feedback on all assessments before the final exam. Suggested answers to the laboratory presentation and group assignment will be placed on Blackboard. General feedback regardingcourse content and other student queries will be provided in lectures. Students are strongly encouraged to use the discussion forum on Blackboard to correspond with the lecturer and each other. This will be checked regularly. Consultation with the lecturer is also available at the allotted time or by appointment.2.7. Academic honesty, plagiarism, legitimate cooperation and group workCommencing students should complete the academic honesty module available via Blackboard before their first assessment submission. Students should refer to Faculty and University policies on academic dishonesty and plagiarism(.au/business/currentstudents/student_information/student_administration_manual), copyright .au/senate/policies/Intellectual_Property_Rule.pdf and the …All your own wo rk website‟ (.au/secretariat/students/plagiarism_index.shtml) for information about legitimate cooperation, group work, how to reference correctly and how to avoid plagiarism.Academic honesty is important to protect students' right to receive due credit for work submitted for assessment. It is clearly unfair for students to submit work for assessment that dishonestly represents the work of others as their own and gain marks and degrees, which are not based on their own efforts and abilities. Deliberate breaches of academic honesty constitute academic misconduct. These breaches include: plagiarism, fabrication of data, recycling previously submitted material, engaging someone else to complete an assessment on one‟s behalf and misconduct during supervised assessments.The penalties for academic misconduct may include: a mark of zero on the assessment; a fail grade in the unit of study, additional assessment (including an unseen exam), and reference of the matter to the University Registrar.All assessments will be checked for plagiarism. Where plagiarism is suspected, the assessment will be fully checked and monitored using manual process, google checks and also electronic plagiarism detectors. In order to do this, the Faculty may reproduce the assessment, provide a copy to another member of faculty, and/or communicate a copy of this assignment to a plagiarism checking service (which may then retain a copy of the assignment on its database for the purpose of future plagiarism checking).Academic dishonesty involves more than just copying material. Cooperation and helping other students may at times trigger academic dishonesty proceedings if it appears you have worked too closely with another studentIndividual assignments must be written and prepared alone. You may consult with other students about ideas and possible research sources but the analysis and writing of the assignment must be done alone. Group assignments should be prepared within the group. Students should contribute fully to the group and take part in all group activities, contributing ideas, analysis and writing to the final product. While students within the group should assist each other freely, students should not carry this level of cooperation out side the group. One group may cooperation and help another group about ideas and possible research sources but the analysis and writing of the assignment must be done by the group alone.3.Student feedback and evaluation3.1 Feedback received from previous studentsStudent feedback from previous semesters included more emphasis on electronic learning and more practical problems to be attempted in workshops. Students also requested less overlapping material with other finance subjects – and more focus on the role of financial analysts. Students also requested earlier posting of lecture notes and additional reading material on blackboard.3.2 Improvements madeLecture notes will now be posted at least one day prior to the lecture. There will be less focus on theory already covered in other finance subjects and more on applied techniques.3.3 Collection of feedback from current studentsFeedback will be collected via a Unit of Study Evaluation form at the end of the semester. Students may contact the lecturer with any concerns or suggestions for improvement throughout the semester (e-mail preferred).4.University policies and servicesAll students must comply with and follow all Faculty and University policies and procedures.Faculty policies are contained in the Administration Manual for Students at.au/business/currentstudents/student_information/student_administration_manual. It is crucial that you take the time to consult this manual early in your studies in order to familiariseyourself with policies and procedures relating to critical issues such as the Faculty‟s policy on sp ecial consideration (including requirements and timelines. e.g. lodging applications five working days after a missed assessment), appeals (lodge within 15 working days of the decision) and other policies such as enrolment, credit etc. Assistance is availa ble from the Faculty‟s Student Information Office at.au/business/student_information_officeUniversity policies at .au/policy Assistance is available from the University‟s Student Centre .au/current_students/student_administration/or the Student Affairs Unit.The code of conduct is an important policy which outlines the University‟s expectations about treating all staff employees and students with respect, dignity, impartiality, courtesy and sensitivity and refrain from acts of discrimination, harassment or bullying..au/ab/policies/Student_code_conduct.pdfLinks to other student services and resources are included on Blackboard and on the Faculty‟s Learning and Teaching website .au/business/learning.5.Topic and assessment scheduleFM: Benninga, Simon (2008) Financial Modeling, 3rd Edition, MIT Press, Cambridge, M.A.。
financial modeling prep介绍 -回复
financial modeling prep介绍-回复什么是Financial Modeling Prep？Financial modeling is a crucial component of financial analysis and decision-making in various industries. It involves constructing a mathematical model to simulate the performance of a financial asset, investment, or business. Financial Modeling Prep (FMP) is a platform that provides users with real-time and historical financial data, powerful financial modeling tools, and insightful analysis to facilitate informed decision-making.Founded in 2017, Financial Modeling Prep aims to democratize access to financial data and modeling tools, making them accessible to individuals, small businesses, and large corporations alike. Whether you are a financial analyst, investor, or business professional, FMP offers a range of features and services to support your financial analysis needs.One of the key features of FMP is its vast database of financial data. The platform provides access to real-time and historical stock prices, company financials, economic indicators, and more. The availability of such comprehensive and up-to-date data allowsusers to analyze market trends, conduct company valuations, and make informed investment decisions.In addition to its data offerings, FMP provides users with a suite of financial modeling tools. These tools enable users to build complex financial models, perform scenario analysis, and run simulations to evaluate the impact of various factors on financial performance. FMP's modeling tools are user-friendly and intuitive, making it easier for both novice and experienced users to create accurate and robust financial models.FMP also offers a range of pre-built financial models that users can customize to suit their specific needs. These pre-built models cover various financial analysis areas, such as portfolio optimization, valuation, risk management, and forecasting. By utilizing these pre-built models, users can save time and effort while benefiting from the expertise and insights of seasoned financial analysts.Furthermore, FMP provides users with a wide array of visualization and reporting capabilities. The platform allows users to create dynamic charts, graphs, and tables to visually represent their financial analysis findings. These visualizations enhance the clarityand impact of the analysis, making it easier to communicate complex financial concepts to stakeholders or clients.FMP's reporting capabilities enable users to generate professional-looking reports that summarize their analysis and findings. These reports can be exported in various formats, such as PDF or Excel, enabling users to share their work with others seamlessly. This feature is particularly valuable for professionals who need to present financial analysis outputs to clients, management teams, or other stakeholders.To cater to the diverse needs of its users, FMP offers flexible pricing options. The platform provides a free basic plan that includes limited data access and features. Additionally, FMP offers several paid subscription plans that provide access to premium features, such as extended data coverage, unlimited model customization, and priority support. This pricing flexibility ensures that users can choose the plan that best suits their requirements and budget.In conclusion, Financial Modeling Prep is a comprehensive platform that offers extensive financial data, powerful modeling tools, andinsightful analysis capabilities. Whether you are an individual investor, financial analyst, or business professional, FMP provides the resources you need to analyze markets, evaluate investments, and make informed financial decisions. With its user-friendly interface, pre-built models, visualization tools, and robust reporting capabilities, FMP empowers users to unlock the full potential of financial modeling and analysis.。
英国留学国际金融专业
英国留学国际金融专业英国留学金融专业详解分类及介绍国外关于金融专业的设置，是两方面都有。
一、以微观为主，也就是研究与公司个体有关的投资、融资等行为。
另一方面就是和国内类似的宏观金融的研究。
专业细分英国大学的金融专业按细分不同通常设置在商学院、经济学院或数学学院。
在参考专业排名时需要考虑会计与金融、经济、商学三个方向。
金融专业细分可分为：金融学、公司金融、金融与投资、国际金融、银行与金融、金融与管理、会计与金融、风险管理、房地产金融与投资、金融与经济、金融工程。
金融学：对金融各个细分领域的综合介绍。
下面以曼彻斯特大学为例来看下金融学专业的课程设置：第一学期必修课：Introductory Research Methods for Accounting and Finance; 会计与金融学方法导论Essentials of Finance;金融学精要Derivative Securities衍生证券选修一门：Portfolio Investment证券投资International Macroeconomics and Global Capital Markets国际宏观经济学与全球资本市场Foundations of Finance Theory金融学基础第二学期Financial Econometrics金融计量经济学Advanced Empirical Finance高级实证金融学Corporate Finance; 公司金融选修一门International Finance国际金融Financial Statement Analysis财务报表分析Real Options in Corporate Finance公司金融中的实物期权Mergers and Acquisitions: Economic and Financial Aspects关于企业并购的经济金融思考Dissertation毕业论文公司金融：解决以公司财务、公司融资、公司治理为核心的公司治理结构方面的问题，综合运用各种形式的金融工具与方法，进行风险管理和财富创造。
FINANCIAL MODELLING (2)
APV Implementation (Continued)
• The Hybrid APV approach combines the APV method of valuing equity free cash flows and interest tax savings but implements the EBITDA multiple approach to calculate terminal value.
FFCFt (1 + Terminal Growth Rate) _______________________________ Terminal = Value (Cost of Capital – Terminal Growth Rate)
Hybrid Approach to Enterprise Valuation
• Using the APV Model to Estimate Enterprise Value
– – – – WACC Assumptions and Problems Adjusted Present Value (APV) Approach to Enterprise Valuation APV Implementation Estimating the Value of Subsidized Debt Financing
Terminal = EBITDAt X EBITDA Multiple Value
Hybrid Approach to Enterprise Valuation (Continued)
• Using EBITDA to calculate terminal value is beneficial because it ties the analysis of distant cash flows back to recent market transactions involving similar firms • Used in establishing the enterprise value for IPO’s, LBO’s, spin-offs, carve-outs, and equity valuation for investment purposes • EBITDA multiple and Gordon growth model should generate very similar terminal value estimates when there are no extraordinary capital expenditures or investments in net working capital
FINC6019_Financial Modelling_2010 Semester 1_FINC6019_Lecture_1
Course Over-View
What topics are we going to study and what will be entailed?
Though some of the topics we will cover may seem familiar, we will approach them from a more applied perspective.
Two fund theorem Computing the market portfolio
Course Outline
Portfolio theory II:
Computing
the sample variance-covariance matrix Alternatives to the variance-covariance matrix
Course Outline
Basic financial calculations:
A
review of some basic financial maths NPV, IRR How to compute these with Excel
NPV, IRR functions
Adjustments
Analyse why this distribution is a “reasonable” model for asset prices Define the log-normal and relate it to the normal distribution Show that log-normal distributions are the result of a price process called a geometric Brownian motion (g.B.m.) Analytically solve the g.B.m. Simulate the log-normal distribution Obtain parameters for this distribution from data
FINANCIAL MODELLING (5)
Seek
final managerial and possibly board approval
Addressing the Possibility of Decision Bias
Project analysis team may be biased if they have incentives to get deals approved The strategic planning committee (investment proposal reviewers) should play the role of a sceptical boss – removing potential biases from the analysis Individuals with their own project ideas may be biased in favour of the project
Discounted Cash Flow (DCF) Analysis is widely used in industry.
M&A Valuations Equity
Analysts
Bringing Theory of Other Courses in a more practical setting.
Considering Investment?
The following five slides contain a few general principles of valuation We need to consider the purpose of the financial models that we construct
岗位年度工作计划英文怎么写
岗位年度工作计划英文怎么写IntroductionAs a financial analyst, it is essential to develop a comprehensive annual work plan to set clear goals, identify priorities, and establish strategies for achieving targets. This document outlines a detailed work plan for the financial analyst position for the upcoming year, focusing on key tasks, responsibilities, and performance indicators.Section 1: Goal Setting1.1 Short-Term Goals- Analyze and evaluate financial data to identify trends, risks, and opportunities.- Develop financial models and forecasts to support strategic decisions.- Provide accurate and timely financial reports to management and stakeholders.1.2 Long-Term Goals- Implement cost-saving initiatives and financial efficiencies to improve the company's financial performance.- Support the development and implementation of long-term financial strategies.- Enhance the financial reporting process and ensure compliance with regulations and standards.Section 2: Key Responsibilities2.1 Financial Analysis- Conduct in-depth financial analysis to assess the company's financial health and performance.- Identify and communicate financial trends, risks, and opportunities to support decision-making.- Provide financial analyses for new business opportunities, investments, and capital projects.2.2 Financial Reporting- Prepare and review monthly, quarterly, and annual financial reports for accuracy and completeness.- Ensure compliance with accounting principles, regulations, and internal policies.- Communicate financial results to management and stakeholders in a clear and effective manner.2.3 Budgeting and Forecasting- Assist in the development of annual budgets and forecasts based on business plans and financial projections.- Monitor and analyze budget variances and provide explanations for any deviations.- Suggest and implement improvements to the budgeting and forecasting process.2.4 Financial Modelling- Develop and maintain financial models to support decision-making and strategic planning. - Analyze and interpret financial data to provide insights and recommendations.- Assist in evaluating the financial impact of different scenarios and strategic initiatives. Section 3: Performance Indicators3.1 Accuracy of Financial Analyses - Achieve a 95% accuracy rate in financial analyses and reports.3.2 Timeliness of Financial Reporting - Submit all financial reports on time, with no delays.3.3 Budget Variances - Keep budget variances within 5% of the approved budget.3.4 Financial Model Reliability - Ensure that financial models accurately reflect the company's financial situation and performance.Section 4: Strategies and Action Plans4.1 Strengthen Financial Analysis Capabilities- Enroll in advanced financial analysis training courses to enhance skills and knowledge.- Implement new financial analysis tools and software to improve efficiency and effectiveness.- Collaborate with other departments to gain insights and information for more comprehensive financial analysis.4.2 Enhance Financial Reporting Processes- Conduct a review of current financial reporting processes and identify areas for improvement.- Implement updated procedures and controls to ensure the accuracy and reliability of financial reports.- Provide training to colleagues on best practices for financial reporting.4.3 Improve Budgeting and Forecasting Practices- Participate in budgeting and forecasting workshops to gain insights into best practices.- Develop a streamlined budgeting and forecasting process to improve efficiency and accuracy.- Communicate regularly with department heads to ensure the alignment of budgeting and forecasting with business objectives.Section 5: Resources and Support5.1 Training and Development- Attend at least two financial analysis training courses to enhance skills and knowledge.- Participate in budgeting and forecasting workshops to improve practices and processes. - Engage in continuous professional development opportunities to stay updated with industry best practices.5.2 Software and Tools- Invest in new financial analysis software to improve efficiency and accuracy.- Leverage existing financial modeling tools to develop more robust and reliable financial models.- Implement updated financial reporting software to enhance the reporting process.5.3 Team Collaboration- Collaborate with the finance team to share knowledge and insights for comprehensive financial analysis.- Engage with other departments to gather relevant information for financial modeling and reporting.- Support colleagues in improving their understanding and use of financial data and reports. ConclusionThis annual work plan outlines the comprehensive goals, responsibilities, performance indicators, strategies, and support for the financial analyst position. With a clear roadmap for the upcoming year, the financial analyst is well-positioned to contribute to thecompany's financial success. This work plan will be used as a guide and resource to track progress and ensure the achievement of targets.。
Financial Modelling
©2006 Deloitte Touche Tohmatsu CPA Limited. All rights reserved.
12
模式 2: 共同比财务报表
根据 Vitex Corp 1999至2002 年相应的历史报表中建立共同比 收益表和资产负债表，然后计算各项四年的平均销售额百分比。
©2006 Deloitte Touche Tohmatsu CPA Limited. All rights reserved.
9
•
A1 and R1C1 reference styles A1和R1C1的索引模式
• •
Tools ⇒ Options ⇒ General Seldom use
•
Using comments in cells 在单元格中插入批注
•
Insert ⇒ Comment Independent and dependent variables 独立变数与因变数 (Input and output variables 输入和输出变数) Date ⇒ Table Can only change the entire 只可整体修改 Hide numbers 隐藏数字： Format ⇒ Cells ⇒ Custom ⇒ “;”
•
Data table 模拟运算表
•Hale Waihona Puke • • ••Scenario manager 方案管理器
• •
Tools ⇒ Scenarios ⇒ Add ⇒ Scenario Values Tools ⇒ Scenarios ⇒ Summary
©2006 Deloitte Touche Tohmatsu CPA Limited. All rights reserved.
FINANCIAL MODELLING (1)
Simple Example (Cont’d)
Given the expected return and standard deviation of the normally distributed asset, we can easily compute the density function for the asset’s value in T = 1 year.
Introduction
The basic time period, T, and the confidence level (the quantile of the relevant probability distribution), q, are the parameters of interest here.
Most VaR calculations are not concerned with annual Value at Risk. The main regulatory and management concern is with loss of portfolio value over a much shorter time period (e.g. 1 day to several weeks)
VaR
answers the question “How much can I lose with x% probability over a pre-set horizon?” Alternatively, we can say “VaR is the lowest quantile of the potential losses that can occur within a given portfolio during a specified time period.”
计算机财务管理相关文献,财务管理外文参考文献（精选文献105个）
计算机财务管理相关⽂献,财务管理外⽂参考⽂献（精选⽂献105个）任何事物总是与⼀定的环境相联系、存在和发展的 ,财务管理也不例外。
不同时期、不同国家、不同领域的财务管理之所以有不同的特征 ,都是因为影响财务管理的环境因素不尽相同。
企业在许多⽅⾯同⽣物体⼀样 ,如果不能适应周围的环境 ,也就不能⽣存。
下⾯是财务管理外⽂参考⽂献105个，供⼤家参考阅读。
财务管理外⽂参考⽂献⼀：[1]Augusto Cesar Hernandes Pinha,Juliana Keiko Sagawa. A system dynamics modelling approach for municipal solid waste management and financial analysis[J]. Journal of Cleaner Production,2020,269.[2]Yuyang Zhang,Konari Uchida,Liping Dong. External Financing and Earnings Management: Evidence from International Data[J]. Research in International Business and Finance,2020.[3]Yuanhui Li,Xiao Li,Erwei Xiang,Hadrian Geri Djajadikerta. Financial distress, internal control, and earnings management: Evidence from China[J]. Journal of Contemporary Accounting & Economics,2020,16(3).[4]. DATA Communications Management Corp.; Data Communications Management Corp. Announces Fourth Quarter and Year End Financial Results for 2019 Together With First Quarter 2020 Outlook[J]. Medical Letter on the CDC & FDA,2020.[5]. Energy - Renewable Energy; Reports Outline Renewable Energy Study Results from Department of Management Sciences (Non-linear threshold effect of financial development on renewable energy consumption: evidence from panel smooth transition regression approach)[J]. Energy Weekly News,2020.[6]. Environment; Researcher at Slovak University of Agriculture in Nitra Has Published New Study Findings on Environment (Financial and Personal Issues of the Transferred State Administration Competencies in the Building Procedure to Municipality Offices)[J]. Ecology, Environment & Conservation,2020.[7]Shaojie Wang,Stelios Bekiros,Amin Yousefpour,Shaobo He,Oscar Castillo,Hadi Jahanshahi. Synchronization of fractional time-delayed financial system using a novel type-2 fuzzy active control method[J]. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena,2020,136.[8]Chikashi Tsuji. Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management[J]. International Review of Financial Analysis,2020,70.[9]José Holguín-Veras,Johanna Amaya Leal,Ivan Sanchez-Diaz,Michael Browne,Jeffrey Wojtowicz. State of the art and practice of urban freight management Part II: Financial approaches, logistics, and demand management[J]. Transportation Research Part A,2020,137.[10]Rouven Litterscheidt,David J. Streich. Financial education and digital asset management: What's in the black box?[J]. Journal of Behavioral and Experimental Economics,2020,87.[11]Toan Luu Duc Huynh,Muhammad Shahbaz,Muhammad Ali Nasir,Subhan Ullah. Financial modelling, risk management of energy instruments and the role of cryptocurrencies[J]. Annals of Operations Research,2020(prepublish).[12]S. Dubnitskiy-Robin,B. Pradère,B. Faivre d'Arcier,S. Watt,T. Le Fol,F. Bruyère,E. Rusch,F. Monmousseau,S. Brunet-Houdard. Switching to single-use flexible ureteroscopes for stones management: financial impact and solutions to reduce the cost over a 5-year period[J]. Urology,2020.[13]Lawrence Ang,Andreas Hellmann,Majid Kanbaty,Suresh Sood. Emotional and attentional influences of photographs on impression management and financial decision making[J]. Journal of Behavioral and Experimental Finance,2020,27.[14]Giovanni Bella,Paolo Mattana. Chaos control in presence of financial bubbles[J]. Economics Letters,2020,193.[15]Stefano Franco,Matteo Giuliano Caroli,Francesco Cappa,Giacomo Del Chiappa. Are you good enough? CSR, quality management and corporate financial performance in the hospitality industry[J]. International Journal of Hospitality Management,2020,88.[16]Theotime Rutabubura, Dr. Patrick Mulyungi. Impact of Risk Management Strategies on the Performance of Agricultural Projects in Rwanda - Taking Access to Rwandan Finance as an Example[J]. Journal of Global Economy, Business and Finance,2020,2(5).[17]Jackson Mills,Karen M. Hogan. CEO facial masculinity and firm financial outcomes[J]. Corporate Board: Role, Duties and Composition,2020,16(1).[18]. Business - Risk and Financial Management; Researcher from Lincoln University Reports on Findings in Risk and Financial Management (Editorial for the Special Issue on Commercial Banking)[J]. Information TechnologyNewsweekly,2020.[19]. Technology - Green Technology; Researchers at Dalian Maritime University Release New Data on Green Technology (Exploring Financial Performance and Green Logistics Management Practices: Examining the Mediating Influences of Market, Environmental and Social Performances)[J]. Journal of Technology,2020.[20]. Business - Sustainability Accounting and Management; Anglia Ruskin University Researchers Provide New Insightsinto Sustainability Accounting and Management (Impact of Environmental Reporting on Financial Performance: Study of Global Fortune 500 Companies)[J]. Global Warming Focus,2020.[21]. Sustainability Research - Sustainable Waste Management; Studies from Stockholm Environment Institute in the Areaof Sustainable Waste Management Published (Sustainable sanitation and gaps in global climate policy and financing)[J]. Global Warming Focus,2020.[22]Dubnitskiy-Robin S,Pradère B,Faivre d'Arcier B,Watt S,Fol T Le,Bruyère F,Rusch E,Monmousseau F,Brunet-Houdard S. Switching to single-use flexible ureteroscopes for stones management: financial impact and solutions to reduce the cost over a 5-year period.[J]. Urology,2020.[23]Christoph Sowada,Iwona Kowalska-Bobko,Anna Sagan. What next after the ‘commercialization’ of public hospitals? Searching for effective solutions to achieve financial stability of the hospital sector in Poland[J]. Health policy,2020.[24]Mike K.P. So,Thomas W.C. Chan,Amanda M.Y. Chu. Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management[J]. Journal of Econometrics,2020.[25]. OneStream Software LLC; OneStream Software Shines in BARC Survey of Planning and Financial Performance Management Products[J]. Computer Technology Journal,2020.[26]. Finance - Electronic Commerce; Studies from Shri Ramdeobaba College of Engineering & Management in the Area of Electronic Commerce Reported (Hybrid geometric sampling and AdaBoost based deep learning approach for dataimbalance in E-commerce)[J]. Internet Business Newsweekly,2020.[27]. Quantzig; Addressing the Financial Impacts of COVID-19: Quantzig's Cutting Edge Working Capital Management Solutions[J]. Medical Letter on the CDC & FDA,2020.[28]. 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Adding Financial Incentives to Online Group-Based Behavioral Weight Control: An RCT[J]. American Journal of Preventive Medicine,2020.[47]Vijayakumar Bharathi S.,Mugdha Shailendra Kulkarni. Competition in Monopoly: Teaching-Learning Process of Financial Statement Analysis to Information Technology Management Students[J]. International Journal of Information and Communication Technology Education (IJICTE),2020,16(3).[48]. Financial Accountability & Management[J]. Financial Accountability & Management,2020,36(2).[49]. Intuit Inc.; Researchers Submit Patent Application, "Navigating To User Content In A Financial Management System",for Approval (USPTO 20200134738)[J]. Computer Technology Journal,2020.[50]West Delia S,Krukowski Rebecca A,Finkelstein Eric A,Stansbury Melissa L,Ogden Doris E,Monroe Courtney M,Carpenter Chelsea A,Naud Shelly,Harvey Jean R. Adding Financial Incentives to Online Group-Based Behavioral Weight Control: An RCT.[J]. 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Public Administration Finance and Law; Research on Public Administration Finance and Law Detailed by a Researcher at National University (Towards An Efficient Management in The Context of Modernizing The Romanian Public Administration)[J]. Politics & Government Week,2020.[60]. Business - Chinese Management Studies; Recent Studies from Guangdong University of Finance & Economics Add New Data to Chinese Management Studies (Shareholder Involvement and Firm Innovation Performance Empirical Evidence From Chinese Firms)[J]. Politics & Government Week,2020.[61]Adegbie Festus Folajinmi, Alawode Olufemi Peter. Financial Management Practices and Performance of Small and Medium Scale Poultry Industry in Ogun State, Nigeria[J]. Journal of Finance and Accounting,2020,8(2).[62]Xinni Wang. Enterprise Financial Management from the Perspective of Flexibility[J]. Journal of Social Science and Humanities,2020,2(4).[63]Theotime Rutabubura, Dr. Patrick Mulyungi. 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Science - Management Science; New Findings from University of Cape Town Update Understanding of Management Science (Social Finance and the Commons Paradigm Exploring How Community-based Innovations Transform Finance for the Common Good)[J]. Science Letter,2020.[68]. Intuit Inc.; Patent Issued for Staged Transactions In Financial Management Application (USPTO 10,628,893)[J]. Computer Technology Journal,2020.[69]. Business - Chinese Management Studies; Studies from Jiangxi University of Finance and Economics Have Provided New Information about Chinese Management Studies (Exploring the Relationship Between Network Position and Innovation Performance Evidence From a Social Network Analysis of ...)[J]. Politics & Government Week,2020.[70]. Science - Management Science; Studies from Dongbei University of Finance & Economics Yield New Data on Management Science (How and When Servant Leaders Enable Collective Thriving: The Role of Team-Member Exchange and Political Climate)[J]. 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Using methane biological oxidation to partially finance sustainable waste management systems and closure of dumpsites in the Southern Mediterranean region[J]. Euro-Mediterranean Journal for EnvironmentalIntegration,2020,5(3).[80]. Business - Risk and Financial Management; New Risk and Financial Management Findings from University of Tokyo Published (Deep Reinforcement Learning in Agent Based Financial Market Simulation)[J]. Journal of Technology,2020.[81]. Public Health - Vaccination; Studies from U.S. Centers for Disease Control and Prevention in the Area of Vaccination Reported (Financial Cost Analysis of a Strategy To Improve the Quality of Administrative Vaccination Data In Uganda)[J]. Information Technology Newsweekly,2020.[82]. Technology; Findings from Al-Farabi Kazakh National University in Technology Reported (Risk management in the financing of ICO projects: prospects for the use of modern technologies in Kazakhstan)[J]. Journal of Engineering,2020.[83]. 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西安大略大学生物统计学合作项目硕士
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公司金融_Financial Modeling
So both cash and debt are plugs
15
Balance Sheet with two Plugs:
Cash and Securities Current Assets
Current Liabilities Debt
Fixed Assets
Stock
Retained Earnings
repay (i.e., decrease) it in the time horizon being considered, i.e.,
if FCF<0, firm issues debt or draws down cash If FCF>0, firm‟s cash increases
in the pro-forma statements
In Excel 2007 click the Microsoft Office Button/Excel
Options/Formulas/Calculation options section, select the Enable iterative calculation check box.
2
A pro-forma is a prediction of how the firm‟s financial
statements -- balance sheet, income statement – will look in future years
Pro-formas are not easy to prepare; we have to ensure that all
12
Model does not incorporate cash explicitly
financial modeling prep介绍 -回复
financial modeling prep介绍-回复financial modeling prep是一个网站，提供各种金融建模工具和资源，帮助金融专业人士进行高效的金融分析和预测。
在本文中，我将详细介绍financial modeling prep的特点和功能，以及如何使用它来进行金融建模。
首先，让我们来看看financial modeling prep的主要特点。
该网站提供了多种金融建模工具，包括财务数据，股票市场数据，经济数据，以及一些用于分析和预测的模型和指标。
这些工具可以帮助分析师和投资者更好地理解并预测公司和市场的运行。
financial modeling prep的一个重要特点是它提供了大量的财务数据。
用户可以轻松地访问到数千家公司的财务报表和关键指标，如营业收入、利润、资产负债表和现金流量表等。
同时，这些数据也可以用于生成各种财务比率和指标，如财务杠杆比率、盈利能力指标和市盈率等。
这些数据对于进行财务分析和评估公司的健康状况非常重要。
除了财务数据之外，financial modeling prep还提供了大量的股票市场数据。
用户可以获取到股票价格、交易量、市值等数据，以及股票历史数据和技术指标。
这些数据可以用于分析股票的走势和波动，并帮助投资者制定投资策略和决策。
金融建模中经济数据的重要性不言而喻，financial modeling prep也考虑到了这一点。
该网站提供了各种宏观和微观经济数据，比如国内生产总值（GDP）、通货膨胀率、利率等，这些数据对于预测市场走势和经济环境非常有帮助。
另一个重要的功能是financial modeling prep提供了一些用于分析和预测的模型和工具。
用户可以使用这些模型来进行估值分析、财务规划和预测等任务。
比如，用户可以使用DCF模型来估值股票和企业，使用回归模型来预测股票价格和市场指数，使用蒙特卡洛模拟来评估投资组合的风险和回报等。
这些模型和工具为金融专业人士提供了有效的工具和方法，使他们能够更好地进行分析和决策。
金融模型 Session 4
51054 FINANCIAL MODELLING K.H.YOON
Interpreting OLS Estimates in Multiple Regression
• Ex: House price (cont.) • R2 = 0.54 and the P‐value for testing R2 = 0 is 1.18E‐88 • Fitted regression line
51054 FINANCIAL MODELLING K.H.YOON
1
Multiple Regression Model
• Multiple regression same as simple regression except many explanatory variables: X1 , X2 , … , Xk • Intuition and derivation of multiple and simple regression similar • Multiple regression model with k explanatory variables
51054 FINANCIAL MODELLING K.H.YOON
F ‐ test
• The F‐test is used to test the significance of R2, • • Which is the same as testing the significance of the regression model as a whole. If prob.(F) < .05, then the model is considered significant and we reject the null hypothesis of no linear relationship of y to the independents. The test statistic is always positive. We would like this to be “small”. The smaller the F‐statistic the less the loss of fit due to the restrictions. Since the smaller the test statistic the better and since the test statistic is always positive we only have one critical value.
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financial modelling金融建模
financial modelling金融建模什么是金融建模？金融建模是指使用数学和统计方法对金融市场和金融产品进行量化分析和预测的过程。
它是金融领域的一项重要技术，可用于支持风险管理、投资决策、资产定价等等。
为什么需要金融建模？金融市场的变化异常复杂，导致投资者和金融机构在决策过程中面临很大的不确定性。
金融建模通过建立数学模型，利用历史数据和市场信息，提供有关未来市场走势、资产价格、风险水平等的预测和预估。
这有助于投资者和金融机构在资产配置、风险管理和投资策略等方面做出更加理性和准确的决策。
金融建模的应用领域有哪些？金融建模广泛应用于各个金融领域，例如股票市场、债券市场、期货市场、外汇市场等。
以下是一些常见的金融建模应用领域：1. 金融风险管理：金融建模可以帮助金融机构评估和管理风险，例如通过数学模型对市场风险、信用风险和操作风险进行测度和预测。
2. 投资组合管理：金融建模可用于资产配置和投资组合管理，通过建立资产定价模型和风险模型，帮助投资者评估不同资产之间的相关性和风险水平，优化资产配置，以达到风险收益的最优化。
3. 衍生品定价：金融建模可以应用于衍生品的定价，例如期权、期货和利率互换等。
通过建立数学模型并使用市场数据，可以推导出衍生品定价的合理范围，为交易者提供参考价格。
4. 市场预测与交易策略：金融建模可以用于预测市场走势，例如股票价格、汇率变动等。
通过建立时间序列模型或机器学习算法，结合历史数据和市场信息，可以对未来市场走势进行预测，并基于预测结果制定交易策略。
如何进行金融建模？金融建模的过程包括以下几个步骤：1. 数据获取和清洗：首先需要获取和整理历史数据，例如市场价格、交易量、财务数据等。
然后对数据进行清洗和处理，以确保数据的完整性和准确性。
2. 模型选择：根据具体问题和数据特征，选择合适的建模方法和模型。
常用的金融建模方法包括回归分析、时间序列分析、蒙特卡洛模拟等。
3. 参数估计和模型验证：根据历史数据，对模型中的参数进行估计，并使用验证数据集检验模型的拟合效果和预测能力。
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Academic Information
Module Code Full Title College Department Module Type MN-M501 Financial Modelling Management Accounting and Finance Dissertation Level External Credit Level Credits ECTS Credits Formal Contact Hours Placement Hours Notional Hours Module Fee Location Contact Hours Description 30 0 150 0 PARK CAMPUS 10 X 3 Hour workshops in a computer lab M FHEQ 7 / HESA 6 15 7.50 Academic year 17/18
Component descriptions Individual coursework report with a word count of 3750 (100%)
In what ways will students receive feedback on assessed work, including formal examinations Examination: Generic feedback via Blackboard plus drop-in session for students who would like individual feedback on their performance. Coursework: Written feedback via Grademark Assessment provision for students with disabilities Where a need has been identified at recruitment, or at any later stage, an assessment will be made in conjunction with the student and the Disability Office. The School will make reasonable adjustments and/or develop alternative arrangements in conjunction with the student. Support material for this module will be available online. With the consent of the Module Co-ordinator students may record lectures for personal use. If necessary student note takers and support workers can attend classes. If access to a particular area is restrictive then the University will alter the venue for the course to allow full access. Alternative forms of assessment will be considered if appropriate. Provide details of how students would redeem failure in the module To redeem failure in this module students will be expected to resit the examination component and this will be weighted at 100%.
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On completion of this module students will be able to: •Interpret and synthesize information in a practical and quantitative manner. •Undertake in-depth detailed numerical analysis of financial data and information using EXCEL. •Apply sophisticated financial modelling techniques to critically examine financial statements and opportunities. •Critically evaluate the findings resulting from the application of financial modelling techniques. Transferable Skills Taking notes flexibly and with purpose; Reading flexibly and with purpose; Locate, retrieve and interpret information; Problem-analysis and problem-solving; Ability to present and evaluate analysis that involves complex ideas and information; Ability to engage in autonomous study and peer-group debate/discussion; Ability to interpret and manipulate data using advanced statistical skills. Syllabus An introduction to financial modelling. An introduction to the use of Excel functions in financial modelling. The modelling of financial statements. What if analysis. Modelling risk. Visual Basic Applications (VBA) in Excel. Are there any challenges which might affect a disabled student being able to satisfactorily undertake the teaching and learning methods of this module? Where a need has been identified at recruitment, or at any later stage, an assessment will be made in conjunction with the student and the Disability Office. The School will make reasonable adjustments and/or develop alternative arrangements in conjunction with the student. Support material for this module will be available online. With the consent of the Module Co-ordinator students may record lectures for personal use. If necessary student note takers and support workers can attend classes. If access to a particular area is restrictive then the University will alter the venue for the course to allow full access. Alternative forms of assessment will be considered if appropriate.