Financial analyst

A financial analyst is a professional, undertaking financial analysis for external or internal clients as a core feature of the job. The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst. The job title is a broad one: in banking, and industry more generally, various other analyst-roles cover financial management and (credit) risk management, as opposed to focusing on investments and valuation; these are also discussed in this article. Financial analysts are employed by mutual- and pension funds, hedge funds, securities firms, banks, investment banks, insurance companies, and other businesses, helping these companies or their clients make investment decisions. In corporate roles, financial analysts perform budget, revenue and cost modelling and analytics as part of their responsibilities; credit analysis is likewise a distinct area. Financial analysts invariably use spreadsheets (and statistical software packages) to analyze financial data, spot trends, and develop forecasts. The analyst often also meets with company officials to gain a better insight into a company's prospects and to determine the company's managerial effectiveness. Analysts specializing in advanced mathematical modeling and programming are referred to as "quants"; see for an overview, and for the various roles. Securities research In a stock brokerage house or investment bank, the analyst will read company financial statements and analyze commodity prices, sales, costs, expenses, and tax rates in order to determine a company's value and project future earnings. On the basis of their results, they write reports and make presentations, usually making recommendations—a "trade idea"—to buy or sell a particular investment or security. Typically, at the end of the assessment, an analyst would provide a rating recommending or investment action: to buy, sell, or hold the security. Senior analysts may actually make the decision to buy or sell for the company or client if they are the ones responsible for managing the assets.

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In the first chapter of this thesis, I empirically show that the time delay firms face in raising outside capital affects cash holdings. I exploit the 2005 US Securities Offering Reform (the Reform) as a quasi-natural experiment. For a subset of large public US firms, the Reform relaxed the requirement to undergo the standard review process with the Securities and Exchange Commission (SEC) before raising new public capital, leading to a reduction in regulatory delay of approximately 1-1.5 months on average and exceeding half a year in extreme cases. Difference-in-differences estimates based on the event suggest a causal channel from time delay to cash holdings. Over the course of the year following the Reform, affected firms reduced their cash holdings by approximately 2-3% as a fraction of book assets relative to unaffected control-group firms. As predicted by theory, the effect is strongest among firms in cash flow volatile industries. The second chapter investigates whether seasoned equity offerings (SEOs) are accompanied by price pressure effects that models of investor inattention and slow-moving capital predict. In line with theoretical predictions, I find that the share prices of issuing firms exhibit a drop in the pre-offer week, and a positive trend in the first four to eight weeks thereafter. The pattern is systematically related to the size of an offering and to measures of the amount of attention the issuing firm receives by market participants. The resulting costs to the issuing firm are on the order of 2% as a fraction of offer proceeds for the average firm, and nearly twice as large for the tercile of firms issuing the largest quantities of illiquid stock. The price impact is so sizable and long-lasting that simple monthly trading strategies that purchase SEO stocks in the first calendar month after an offering yield monthly five-factor alphas exceeding 1.5 percentage points. The abnormal returns are most pronounced in periods of low aggregate stock market liquidity, as measured by the Pástor and Stambaugh (2003) liquidity index. The results are consistent with the interpretation that the return pattern represents a compensation to temporary liquidity providers, who require the largest compensation during periods in which funding liquidity is scarce. The third chapter is joint work with Cornelius Schmidt from the University of Lausanne. We propose a novel setting to test how the presence of attention constraints affects stock prices. Our setting exploits the particular industry exposure of vertically integrated firms. Because of inter-segment sales of goods, the relative size of individual segments within such firms, in an accounting sense, is a misleading indicator for the firm's overall exposure to industry shocks. We hypothesize that attention constrained investors will tend to neglect this detail, leading to systematic pricing mistakes after confounding, industry-specific news shocks. In line with this hypothesis, we find evidence of predictable price corrections in post-news periods – in particular in the time around firms' earnings announcements. A fully implementable long-short equity strategy based on the phenomenon leads to significant risk-adjusted excess returns. Security analysts' earnings forecasts exhibit a predictable error in the same direction as stock prices.

EPFL2012

Financial analyst

Financial modeling

Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment. Typically, then, financial modeling is understood to mean an exercise in either asset pricing or corporate finance, of a quantitative nature. It is about translating a set of hypotheses about the behavior of markets or agents into numerical predictions.

Financial risk management

Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to address them. See for an overview. Financial risk management as a "science" can be said to have been born with modern portfolio theory, particularly as initiated by Professor Harry Markowitz in 1952 with his article, "Portfolio Selection"; see .

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