179 Accounting courses in Golborne

Overview This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Overview The development of effective and realistic business/financial models is a critical tool in today's value-driven organization. As shareholders are increasingly concerned with the value of their investments, organizations are continually driven to ensure the optimum use of resources. Using Excel®, the Business & Financial Modelling process provides an effective tool with which the potential outcomes of various strategic and tactical initiatives can be projected. This comprehensive five-day programme takes you through the modelling process from start to finish. It provides practical examples and applications of modelling for both strategic and tactical executives.

Overview The valuation of corporates is a fundamental skill required of a wide range of finance professionals including equity analysts, strategists, corporate finance executives, fund managers, PE/VC executives, and general bankers. The recent volatility of corporate valuations, combined with the emergence of new sectors, makes understanding the theory and practice of valuation essential. This practical course is taught using inter-active sessions that comprise lectures followed by short, practical, and interactive case studies and exercises to reinforce the concepts covered in each teaching session. Emphasis is placed on delegates gaining hands-on experience with various valuation techniques.

Overview In this course you will learn to build a financial model by working in Excel and how to perform sensitivity analysis in Excel. You will also learn the formulas, functions and types of financial analysis to be an Excel power user. By attending this course, you will be able to effectively prepare and build financial models. Objectives Harness Excel's tools within a best practice framework Add flexibility to their models through the use of switches and flexible lookups Work efficiently with large data volumes Model debt effectively Approach modelling for tax, debt, pensions and disposals with confidence Build flexible charts and sensitivity analysis to aid the presentation of results Learn and apply Excel tools useful in financial forecasting Understand and design the layout of a flexible model Forecast financial statements of a public or private company Apply scenario analysis to the forecasted financial statements and prepare charts for data presentation

Overview The comprehensive course will cover the fundamentals of portfolio management, and delve deeper into risk and return. Participants will develop their understanding of how and why investors allocate money to fixed income, the numerous issues that impact risk and return, and the mechanics of portfolio construction.

Overview This course is designed to evaluate the financial statement, budget and making an effective decision. It will help to understand Discounted Cash Flow and its techniques, applications of financial statements and decision-making process.  In this programme, you will challenge representatives to learn how to make use of financial statements to assess the strategic or financial performance of an organization. It will help to understand DCF Discounted Cash Flow techniques along with their apps for financial making decisions and making use of ratios in order to identify the major areas of concern. Find out the elements like weaker financial signals, major success factors, and robust financial signals within your own industry. It Projects future performance assuredly through real-world budgeting.

Overview This course is specially designed, this 5-day Financial Risk Management training course works to expand delegate's understanding and practical skills in the field of financial risk management. Specifically, this training course investigates the inter connection of risk in terms of markets, credit, operations, liquidity and reputation. Via intensive instruction and practical exercises, delegates will explore relevant techniques and methodologies, such as value-at-risk, credit modelling and stress testing.

Overview Business modelling requires analysts to produce the quantitative models that top management uses to support their decision-making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions and robustly navigate the strategic negotiation landscape. This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Overview This course will provide participants with an introduction to the key elements to consider in analysing financial institutions for example factors used in the assessment of the operational performance of financial institutions including but not limited to solvency, liquidity, earnings, management and systems/controls. The program will primarily cover banking institutions but there will also be some sessions devoted to risks associated with insurance companies. 

Overview This training course is structured around the ISO 31000:2009 framework, principles and processes. It will also demonstrate how to develop internal control mechanisms and explain how to measure risk in terms of probability and potential impact, at the same time as ensuring that the organisation complies with increasingly strict international standards of corporate governance.