In this course, you will analyze the importance of assessing stakeholder interest or salience in different ESG factors and industry variances. You will also evaluate the importance of ESG factors in your investment decisions, including how you can use them to create socially responsible portfolios with better-than-average returns. You will also examine the risks associated with ESG investing and how they can affect the corporation’s profitability. Next, you will review the concepts of positive and negative screening and identify the ESG factors that cause investors to divest from or negatively screen certain assets. You will review ESG risks associated with climate, diversity, executive compensation, governance issues, and evaluate how corporate performance and stock prices correlate to ESG scores. You will also examine how ESG adoption could accelerate the growing trend of fossil fuel divestment, its minimal impact on returns, and what this means long term. Finally, you will analyze quantitative and qualitative measurements and explore different protocols, such as MSCI, to evaluate and provide ESG ratings that can affect stakeholder and investor interest. By the end of this course, you will have explored how ESG investing has grown, assessed the variety of ways it has been integrated into the market, and analyzed the complex indexing and measurement techniques employed in the ESG space today.

The second course in the Building Your Freelancing Career specialization is aimed at freelancers looking to integrate financial analysis and strategy into their business. Learners will discover and apply accounting best practices through creating a budget and financial plan and using it to set financial goals with rates and prices backed up by their own research. CalArtians who do not see a "Sponsored by CalArts" notice when enrolling are encouraged to access this course and the specialization by joining through the Coursera for CalArts program linked in the course/specialization FAQ.

This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. By the end of this course, you will be able to: - Describe different types of costs and how they are represented graphically - Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit - Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems - Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision - Determine a reasonable course of action, given the financial impact, for a given management decision

In this course, you’ll learn the foundational theories behind robo-advising, crowdfunding, and marketplace lending, and how to apply these theories to optimize your investments. Professor David Musto of the Wharton School has designed this course to help you gain a practical understanding of the theoretical frameworks of Modern Portfolio Theory and Financial Technology. You’ll learn how to apply the ideas behind robo-advising and crowdfunding to better assess and leverage a more optimized portfolio while managing risks. You’ll also explore the current consumer credit landscape and learn how to utilize financial technologies in your business. You’ll analyze real-life examples by studying the cases of Square and CommonBond. By the end of this course, you’ll have honed your skills in calculating risks and returns in robo-advising and crowdfunding, and be able to assess the value of marketplace lending to achieve better returns on your investments. No prerequisites are required for this course, although "Fintech: Foundations, Payments, and Regulations" and "Cryptocurrency and Blockchain: An Introduction to Digital Currencies" from Wharton's Fintech Specialization are recommended.

In this 1-hour long project-based course, you will learn how to use Google Finance to import stock price data, identify the free float of the stock, use free-floated weighting to construct an index. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions. This course's content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market.

This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. This course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.

In the culminating project, you will develop new trading strategies, evaluate them using the tools learned in the course, integrate them with the existing portfolio and also develop a plan to start a hedge fund.

Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data analysis and lays an essential foundation in the techniques that are used in big data and machine learning. It introduces the topics and gives practical examples of how they are used by investment professionals, including the importance of presenting the “data story" by using appropriate visualizations and report writing. In this course you will learn how to: - Explain basic statistical measures and their application to real-life data sets - Calculate and interpret measures of dispersion and explain deviations from a normal distribution - Understand the use and appropriateness of different distributions - Compare and contrast ways of visualizing data and create them using Python (no prior knowledge of Python necessary) - Explain sampling theory and draw inferences about population parameters from sample statistics - Formulate hypotheses on investment problems This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

GST, if applicable, can be paid in cash or through the utilization of input tax credit, also commonly known as ITC. In this course, you will learn about the concept of the input tax credit, conditions , and restrictions on availing and utilizing ITC, legal requirements and procedures for reconciliation of ITC , and the concept of distribution of ITC. Input tax credits, along with valuations, play an important role in the pricing of goods and services. This course provides a platform for learners planning to launch their careers in tax or sharpen their skills with the technical understanding of GST law in India. This program is industry agnostic and is relevant for anyone looking to acquire basic knowledge of GST. It will provide you with the skills required for entry level jobs in the fields of finance, tax, or law. By the end of this course, you will: - Know what is input tax credit and the conditions for availing of such credit - Learn about the restrictions on the availment of credit and understand when credit needs to be reversed - Know the legal requirement for performing reconciliation of purchase records and the detailed process for the same - Identify the practical challenges one may face while performing the reconciliations - Understand the concept of input service distributor, as well as, when and how it needs to be applied.

You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms. Much research supports these general ideas, and one implication is that management of innovation often requires different approaches and skills than management in established arenas. This course helps you develop a perspective on managing innovation. That is, you will build your capability to lead and design your organization to effectively implement innovation initiatives and achieve their strategic intent. To do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation. The first regards how to successfully implement innovation efforts within established firms and alongside established businesses. A second is leadership of new product development teams. The course also covers leadership of organizational change, which is often a critical part of driving innovation initiatives forward. Through covering these topics, the course will help you: - Analyze innovations and their impact on organizations - Articulate a research-informed perspective on innovation management - Utilize frameworks, tools, and concepts to address leadership challenges that arise in innovation