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NEWSLETTER of February 8, 2019

 

The following content has been added at finexpert:


Studies > Performance

STATE STREET GLOBAL ADVISORS

2019 GLOBAL MARKET OUTLOOK: NOT OVER UNTIL IT'S OVER

As investment challenges grow more complex, the Global Market Outlook is designed to alert investors to portfolio risks and opportunities in the coming year. Research around near-term and longer-term market issues is at the heart of who we are as investors. It drives the kinds of outcome-oriented portfolios we create for clients, drawing on the full range of our beta and alpha solutions as well as our asset-allocation expertise. >more

Studies > M & A

Ernst & Young

2019 EY M&A FIREPOWER REPORT

Over the past three decades, life sciences companies have used their biological and chemical know-how to create significant value for themselves, their shareholders and most importantly patients. As the health ecosystem evolves and patient, payer and provider stakeholders grow more demanding, will future value be created the same way? Or will data and analytics capabilities be essential for success? In today’s fast-changing environment, it’s very likely that life sciences companies will need access to an array of medical and non-medical data to demonstrate value to their stakeholders. >more

Studies > M&A

Bain & Company

M&A IN DISRUPTION: 2018 IN REVIEW

The year 2018 will be remembered as the year that the word disruption gained prominence in the business lexicon. Executives grappled with the convergence of e-commerce, data analytics, mobile capabilities, the Internet of Things and other fast-moving digital advances, and found themselves questioning how their business models might be made obsolete and how they should respond. They also tracked the political uncertainty, headlined by US politics, and questioned how their business should navigate the new normal of a disruptive world. For these and other questions facing business leaders, M&A turned out to be a big part of the answer. It played a key role in helping companies deal with disruption even as it fueled the disruption itself. >more

Studies > Risk Management

Deloitte

GLOBAL RISK MANAGEMENT SURVEY: 11TH EDITION

The 11th edition is the latest edition in this ongoing survey series that assesses the industry’s risk management practices and the challenges it faces. The survey was conducted from March 2018 to July 2018 and was completed by 94 financial institutions around the world that operate in a range of financial sectors and with aggregate assets of US$29.1 trillion. The report shows that financial organizations face challenges from nonfinancial risks such as cybersecurity, model, third-party, and conduct risk—as well as looming economic dangers that will require institutions to rethink their traditional risk management approaches. >more


Research Papers > Corporate Governance

RETURNS TO TALENT AND THE FINANCE WAGE PREMIUM

Claire Celerier, and Boris Vallee
2018
To study the role of talent in finance workers' pay, we exploit a special feature of the French higher education system. Wage returns to talent have been significantly higher and have risen faster since the 1980s in finance than in other sectors. Both wage returns to project size and the elasticity of project size to talent are also higher in this industry. Last, the share of performance-pay varies more with respect to talent in finance. These findings are supportive of finance wages reflecting the competitive assignment of talent in an industry that exhibits a high complementarity between talent and scale. >more

Research Papers  > Alternative Investments

VENTURE CAPITAL COMMUNITIES

Amit Bubna, Sanjiv Ranjan Das, and Nagpurnanand Prabhala
2018
While VCs can choose from thousands of potential syndicate partners, many prefer to co-syndicate with partners drawn from small groups of preferred partners, whom we term "VC communities." Using computational methods from the physical sciences, we identify communities from three decades of syndication data and characterize their number, size, composition, and economic activities. Communities comprise VCs similar in age, connectedness, and functional style and undifferentiated spatial locations. Machine learning tools classify communities into three groups roughly ordered by VC age and reach. Community VC financing is associated with faster maturation and greater innovation especially for early-stage firms without innovation histories. >more