Many organizations that think they’re data-driven are still in first gear. How do you go from simply collecting a lot of data to setting up a business analytics function that actually tells you how to tweak your model to improve profitability?
Robo-advisor investing uses algorithms (instead of humans) for portfolio selection and rebalancing. Its affordable ways have opened up wealth management options to the masses, but its means of quantifying risk need more sophistication and tailoring to individual circumstances.
Where are we now in the commercial real estate cycle? We analyze current market dynamics, risks, yield expectations, and trends to determine potential well-positioned commercial real estate investments in 2020.
Since the introduction of index funds in the 1970s, the investment management industry has embraced the use of software to enhance its decision-making. With robo-advisors reaching further prominence, will machines replace humans in the world of wealth management?
Impactful applications of IoT are certain to emerge in the near future. We explore how finance professionals should think of the value it can generate for their business by creating a thought framework.
Share buyback schemes, if executed poorly, can be disastrous for shareholders and company stakeholders. Using three examples from the UK market, reasons for failure are explored with some suggested remedies for managers making capital allocation decisions.
Share buybacks have become a popular financial tool for cash-rich businesses that are running short on sufficient projects to invest in. Three case studies are presented here that demonstrate when share buyback schemes are successes.
The Python language has the functionality to consign many a VBA-filled spreadsheet, held together with sticky tape, to the recycle bin. Its ease of use and suitability for iterative development lends well to finance-based workflows. We delve into this and provides a brief tutorial.