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Wealth Management

HOW A REWORKED APPROACH TO DATA CAN EMPOWER GENERATION RENT TO BUY

Ben Leonard, CEO and Co-founder, FirstHomeCoach

 

Purchasing a property. It’s a key life goal that so many Millennials aspire to – yet one that, in recent years, has become frustratingly unachievable.

 

The statistics around first-time home ownership make stark reading: just a decade ago, home ownership amongst 25-35 year olds was 35% higher whilst today only 30% of social tenants believe they will be able to own a home. The chances of owning a home in the UK have more than halved over the past 20 years, and the average age of a first-time buyer is now 30.

 

Ben Leonard

We also know from our research that, even for those that can afford to buy a home, purchasing a property is one of the most complex, prolonged, fragmented and stressful processes to navigate. It’s one that involves numerous products, services and dealings with various professionals – all of whom have their own agenda and interests, most of which first-time buyers don’t fully understand.

 

Something must change. Young people need more support, a structured framework, and ultimately greater empowerment. A key part of this, we believe, lies in their data.

 

Data collection, and the subsequent analytics and processing to build a profile of a buyer, is nothing new in the property world. But for too long this data has primarily served the benefit of the agent or platform, not the buyer.

 

To truly help young people realise their aspirations on the property ladder, we – as an industry – need a reimagined approach to data: a model that services the end user. A model that uses data to help people help themselves.

 

Firstly, we need to ensure our profile of each potential buyer is as hyper-personalised as possible, whilst using as limited an amount of data as possible to find a better balance of privacy and personalisation

 

No two potential property buyers are the same, and everyone needs to be understood on an individual basis, rather than placed in generic segments, bands or profiling groups, as if often the case. At FirstHomeCoach we provide people with a bespoke plan allowing them to quickly see how to realise their ambition and then adjust their plans accordingly, all without asking for a name, address or email.

 

Secondly, the ways in which we utilise personal data must be more transparent and responsible. We need to remember that this data belongs to the individual not the firm and it is being provided to us for a particular reason.

 

Following the Snowden, Cambridge Analytica and Facebook exposes, consumer trust in organisations to ethically process our data for our benefit is at an all-time low and big data has today for consumers become synonymous with targeted advertising, surveillance and intrusion.

 

At FirstHomeCoach any data entry is fully explained and is only processed to provide the buyer with specific requested feedback or a clear benefit. For instance, we ask for Date of Birth to establish if a consumer can apply for a Lifetime ISA, not to target them with gaming console adverts. We ask for your salary details so we can assess if a shared ownership mortgage could be a suitable product, not to offer holidays to the Bahamas.

 

We also aspire to re-use as much data as possible where we introduce buyers to relevant partners. Working with the wider industry on this is a key ambition and technologies like APIs and Digital Identities provide us all with a real opportunity to make the entire experience of home buying better.

 

Thirdly, as we move into an era of open data, we must do much more to demonstrate how consented data, when utilised responsibly and transparently, can be used to empower and benefit a buyer.

 

Take Open Banking for example – a secure way for consumers to share their bank data with third parties. Last year we were asked by HM Treasury to develop a system that, using Open Banking, enables renters to share their rental payment data with a credit rating agency, thereby improving their credit prospects.

 

In the case of home ownership, having a thin credit file can be just as large a hurdle to securing a mortgage as having a poor credit file. The consented, transparent and responsible use of data in this instance can therefore tangibly improve the prospects of young people hoping to buy a home.

 

Open Banking and the sharing of consented data can also make the process of saving for and purchasing a property far less cumbersome. From tools to support budgeting through to identifying better savings rates and undertaking mortgage affordability assessments, Open Banking has the potential to inform, educate and streamline the home buying journey.

 

The reality is however that the vast majority of buyers don’t want to talk about their data or the merits of Open Banking. To win back their trust, we must establish new systems and engagement methods that – rather than taking advantage of naivety – use transparency and design to demonstrate that their data can assist them in achieving their life goals. Doing so, as an industry, will be a major step towards empowering young buyers to take their first home ownership step.

 

This isn’t a first for professional services and a big personal inspiration in our industry is TransferWise. They are proud about being ruthlessly transparent, committed to explaining their business model and always working to benefit the consumers’ interests. If changing currency can be made this good, then why not home buying?

 

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Wealth Management

TWO TO TANGO? MARKET DATA AND OPINIONS IN INVESTMENT MANAGEMENT

MARKET DATA

Sebastien Lleo is Associate Professor of Finance and Head of the MSc in Risk and Financial Technologies at NEOMA Business School (France)

 

Analyst views and expert opinions matter. They are an invaluable complement to market data when it comes to formulating relevant capital market expectations and to strengthening risk management models and practices. But watch out for behavioral biases!

“Garbage in – garbage out!” Every investment management professional has heard the warning that poorly formulated capital market expectations will get portfolio optimisers to produce inefficient, unrealistic, and even outright dangerous portfolios.

Thus, considerable efforts have taken place to turn available economic and market data into accurate capital market expectations. These lead to the development of slick statistical methods, effective econometric techniques, and powerful machine learning algorithms.

Opinions can also be an invaluable source of insights to construct accurate capital market expectations.

What are the types of opinions on financial markets?

Opinions take multiple forms in financial markets. They include analyst views, opinions from political and economic experts, super forecaster predictions, and investor polls.

Moreover, opinions abound on financial markets. Consultancy Quinlan & Associates reported that the bigger banks and brokerages emailed over 40,000 pieces of research every week in 2016, despite continuing job cuts in the financial sector. Social media also contribute to the spread of opinions: according to the financial website Modestmoney.com, there are at least 839 active financial blogs published in English.

Why should I use expert opinions?

Opinions have three key benefits.

First, opinions can be a crucial complement to traditional economic, corporate and financial market data to construct realistic capital market expectation, and keep those up-to-date. This statement is especially true in times of heightened uncertainty, such as market bubbles and financial crises, when traditional data fail to provide an accurate assessment of market conditions.

Second, opinions can strengthen risk management models and practices. Opinions can widen the range of scenarios considered in portfolio optimisation and risk management. Dissenting opinions provide a cornerstone for the construction of meaningful stress test scenarios.

Third, we can use opinions, even when traditional data are not. For example, assessors evaluate insurance claims, and appraisers estimate the value of illiquid assets, such as real estate and collectables, periodically.

How easy is it to collect opinions?

The inclusion of opinions requires extreme care.

Let’s look at analyst views and expert opinions. We all know that not all experts or forecasters are equally accurate. A widely reported study by CXO Advisory Group LLC tracked 6,582 forecasts for the U.S. stock market published by 68 experts between 2005 and 2012. The study found that average accuracy across experts was 47.4%, with individual accuracies ranging from a low of 21% to a high of 68%.

Therefore, investment management teams need to implement a process to guarantee the relevance of the opinions used in their models. This process, known as “elicitation,” is described in abundant literature. The books by O’Haghan (2006) and by Meyer and Booker (2001) are an excellent place to start. Essentially, the elicitation process helps to construct views that are specific, explicit, and structured. Opinions need to focus on a specific variable or parameter, such as the price of a given asset or the mean of a distribution. Opinions need to explicitly provide a mid-point or most-likely scenario, a confidence interval, and to relate the confidence interval to a probability distribution. Finally, opinions need to be structured to provide a transparent and auditable trail.

What are the implementation challenges?

Three main implementation challenges need addressing.

The first and most dangerous challenge is that opinions are often subject to the behavioral biases. Behavioral biases, in particular overconfidence, excessive optimism, conservatism, confirmation bias, and groupthink play an essential role in how finance professionals perceive and process information, and on how they form their forecasts. Recently, in a simulation study, Davis and Lleo (2020) recently found that the presence of biases explained nearly 70% of excess risk-taking. Therefore, it is crucial to debias forecasts before using them in any model.

Second, expert opinion models are Bayesian and therefore require the specification of a prior distribution. We can overcome this difficulty with some original thinking, as with Black and Litterman’ reverse optimisation exemplifies.

Third, aggregating of multiple expert opinions is considered an essential conceptual and computational problem because it requires engineering a joint distribution out of a collection of univariate distributions.

 

How can I integrate opinions in my portfolio selection model?

Currently, several families of portfolio selection models use opinions as input. The best-known and oldest is the Black and Litterman (1992) model, which uses analyst views to generate capital market expectations in a Markowitz-style single-period optimisation framework. This approach has been extensively discussed and developed in a large number of subsequent papers and chapters.

However, the Black-Litterman approach has two fundamental limitations. First, it is static, meaning that it locks portfolio managers into a “buy-and-hold” strategy, ignoring the possibility that portfolio managers may shift their asset allocation as financial market conditions change. Second, it ignores the presence of behavioral biases in expert opinions.

To address the first limitation, Frey et al. (2012) and Davis and Lleo (2013,2020) proposed two closely-related dynamic portfolio management models. Although both models are developed in continuous time, we can transpose them to a multiperiod discrete-time setting.

The second limitation has proved more elusive. At the moment, Davis and Lleo (2020) is the only dynamic portfolio selection model that addresses for behavioral biases.

 

References

Black, F., Litterman, R., 1992. Global portfolio optimisation. Financial Analyst Journal 48 (5), 28–43. Davis, M., Lleo, S., 2013. Black-Litterman in continuous time: the case for filtering. Quantitative Finance Letters. 1 (1), 30–35.

Davis, M., Lleo, S., 2020, Debiased expert forecasts in continuous-time asset allocation. Journal of Banking and Finance. 113.

Frey, R., Gabih, A., Wunderlich, R., 2012. Portfolio optimisation under partial information with expert opinions. International Journal of Theoretical and Applied Finance 15 (1). O’Hagan, A., 2006. Uncertain Judgments: Eliciting Expert’s Probabilities. Wiley.

Meyer, M., Booker, J., 2001. Eliciting and analysing expert judgment: a practical guide. ASA-SIAM Series on Statistics and Applied Probability. Society for Industrial and Applied Mathematics.

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Wealth Management

AN ULTIMATE GUIDE TO TURNING YOUR EARLY RETIREMENT DREAM INTO A REALITY

EARLY RETIREMENT

Rick Pendykoski is the owner of Self Directed Retirement Plans LLC, a retirement planning firm based in Goodyear, AZ.

 

This article is for all those who are counting their IRAs, 401 (k), self-directed 401k and other retirement planning options to enjoy that late-life freedom as early as 45 or 40. Financial freedom at 55 has become a thing of the past because today it all depends on your ability to take the right decisions. If your 9 to 5 life has left you drained and you are serious about an early retirement, here are 8 ways to coach you from scratch:

  1. Free yourself from the vicious circle of debt

The first step to securing an early retirement is getting yourself free from debt. If you do not wish to enter your early retirement with any financial lags or large payments that can eat away a massive chunk of your modest savings, you need to increase your cash flow by clearing all your debts. Paying off your mortgage or lease early will help you divert the funds into a Roth IRA or other retirement savings.

 

  1. Start living a frugal life

Rick Pendykoski

Saving is the only way to increase the cash flow as your career progresses and this can be done by controlling your expenses. It does not mean giving up on all your desires but only requires you to live a frugal lifestyle. A few compromises and you can save a significant amount which will eventually bring you closer to your early retirement dream. From giving up on your expensive memberships and cutting down your HVAC usage to making a few compromises in your lifestyle and sacrificing a few golf games, your day-to-day frugal acts will free you from your cubicle and give you the freedom to retire early.

 

  1. Be open to the idea of changing

Prioritize between your wants and your needs. This will help you break free from the shackles of your tiring nine to five schedule. Enjoying life to the fullest sounds like a great idea to most of us, but it also means that you are losing on the real joy of retiring at 40 for momentary happiness. If fancy dinners and long drives in luxury cars mean more to you, an early retirement is obviously out of your reach. Mindful spending needs major lifestyle changes for which you may need to give up on stylish clothing, lavish parties, exotic vacations and more. This is only possible if you change your perception of conventional societal programming which demands that you give up on your desires of bigger houses and new cars. It calls for a complete mind shift from spending to saving.

 

  1. Take a head start with a high-paying industry

It is possible to retire well before you turn 60 if you are working for an industry that pays really well right from the start. A good-paying job plays a critical role in paving your path to a financially independent future. You too can enjoy a retirement of rest and relaxation if you are willing to take up personal responsibility in professional life. Getting closer to your goal of early retirement requires you to be self-sufficient early on in life.

 

  1. Automate 50% of Your Annual Income to Retirement Savings

Allocate as high a percentage of your annual income as possible to pay up your previous debts, pending bills, leases, and loans. Once you are done with of all these, automate your income towards retirement savings. You can start with 30% and raise the bar every year as your income increases. Every time you get a raise, increase the amount you add to your retirement reserve.

 

  1. Be sure to invest in a 401 (k) plan

Many employers are offering 401 (k) plans where you can invest a certain amount of your income and your employer makes a matching contribution to bolster your retirement savings.

 

  1. Stick to a frugal lifestyle

You need to revamp your investment plan as your career keeps progressing. What you want to achieve – an early retirement is an extraordinary goal and so your efforts should be focused on living frugally. Always keep a rewarding retirement at the top of your mind and you will remain motivated to keep the passion alive and pursuit kicking.

 

  1. Invest in an IRA

An IRA is a preferred and popular choice for retirement savings. You can consult an experienced and reputed financial advisor to guide you in selecting right IRA. An IRA will allow you to enjoy tax benefits if you choose to retire early. It will get to where you want faster than you think.

 

Start investing right away and make your retirement the best phase of your life.

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