Tradycyjny doradca finansowy 2.0 a robodoradca

The aim of this chapter is to answer the question whether the financial services market is able to permanently integrate the appropriate technology and day-to-day work of a traditional financial advisor, so that it is potentially as effective and automated as robots, and even offers a higher quality of services. If so, can the price of such advice be low enough to make it affordable to the average retail investor? The chapter presents the history and characteristics of an advisor 2.0 and a robo-advisor. Then, using the SWOT analysis, the strengths and weaknesses, as well as opportunities and threats for both types of services are shown. We base the analysis on the literature on financial advisory, which in the last decade has grown substantially in both variants due to the dynamic development of these services. The chapter ends with conclusions about the answer to the questions raised at front.

5. Income tax

Everyone needs to pay income tax, so whilst it is not necessary for every lawyer to have knowledge to the same extent of a specialist tax lawyer or a financial advisor, it remains essential for every lawyer to have sufficient knowledge and understanding to be able to undertake basic income tax calculations, understand the stages in those calculations, any applicable reliefs and how they work, therefore enabling them to recognise the impact of income tax on both clients and themselves. This chapter discusses the background to income tax law; the role of HMRC in the collection of income tax and the dates for payment of income tax; sources of taxable income. rates of income tax, reliefs and allowances; the key elements to an income tax calculation. This chapter covers the changes introduced by the March 2021 Budget.

When Asking the Tough Questions : A Gender-based Study on Financial Advisor s Level of Comfort When Gathering Sensitive Client Information

The research underpinning this article was to investigate how comfortable financial advisors of different genders are when asking their clients questions of a sensitive nature and to offer possible new insights into the effective, emotionally sensitive practices of female financial advisors. The study made use of a quantitative research method by sending an online link to a questionnaire to all members of the recognised professional membership body in South Africa, of which 365 responses were received. The female group, which constituted 31.3% of the total respondents, almost always felt more uncomfortable on all the discussion topics and also perceived their clients to be more uncomfortable. The female group were found to be more sensitive, specifically when communicating about the more sensitive topics and also more aware of their clients’ truthfulness.

Interactive Multiple Objective Asset Allocation

Portfolio efficiency and suitability are two important goals in the asset allocation processing involving a financial advisor and clients. The Analytic Hierarchy Process (AHP) technique is employed as a framework to address an investor's multiple investment objectives. Questionnaires, GAMS (General Algebraic Modelling System) programs and spreadsheet models are developed to facilitate the communications between the financial advisor and investor.

Interactive Multiple Objective Asset Allocation

Portfolio efficiency and suitability are two important goals in the asset allocation processing involving a financial advisor and clients. The Analytic Hierarchy Process (AHP) technique is employed as a framework to address an investor's multiple investment objectives. Questionnaires, GAMS (General Algebraic Modelling System) programs and spreadsheet models are developed to facilitate the communications between the financial advisor and investor.

Racial Animosity and Black Financial Advisor Underrepresentation

This study investigates whether racial animosity across metropolitan markets is associated with Black financial advisor underrepresentation. Using a dataset of all U.S. securities-licensed individuals (N = 642,543), we first estimate the racial and ethnic composition of the industry using an algorithm that accounts for name, gender, and location. Second, we use a dataset enhanced by a commercial vendor to restrict the analysis to only those identified as working as financial advisors (n = 237,435). Using racially charged Google search queries as a proxy for racial animosity, we find that greater racial animosity is associated with greater Black advisor underrepresentation. We estimate lower underrepresentation of 0.9 percentage points when comparing markets with the highest and lowest levels of animosity. For the average market with an estimated 11.4% Black advisor representation, an increase of 0.9 percentage points would represent a 7.9% increase in Black advisor representation.