Be careful what you wish for in crowdfunding

| 02-07-2019 | by Pieter de Kiewit |

Over the last decade bankers have taken over from civil servants and public transport employees as the ones to complain about. Yours truly is also guilty and I still meet bankers who do not like to talk about their profession because they are annoyed about the bashing. Nobody is perfect but haven’t we all been too harsh on bankers?

This question popped up last week when I read about crowdfunding developments. This relatively new form of funding is growing quickly. I see at least three obvious reasons for this. First, regular banks are reluctant to fund SMEs. Regulatory requirements, ROI and risk profiles of their potential clients are some reasons for that. Second, there is a lot of liquidity in the market and it is hard to make proper investments. Third and last, various platforms, with easy accessible IT solutions, facilitate investors finding those who need funds. Why my plea to go easier on the bankers?

With crowdfunding platforms building a track record, issues are becoming very visible. There are two very prominent problems. Many SMEs using crowdfunding facilitate the payment of extremely high interests, the term loan sharks already came up. The other prominent problem is that the credit risk process in crowdfunding is often very weak. This results in the funding of unstable businesses and weak plans, ending up with funders empty-handed.

I am a small business owner, the chamber of commerce sells my address to whoever pays. On a very regular basis I receive mail informing me how much I can borrow. Crowdfunding is not regulated like banks are. Process and expectation management is being done quite aggressively by platforms and I understand problems are becoming obvious as the market matures. I invite you to read input from Lex van Teeffelen and others:

RTL Z/ANP: Failliet door crowdfunding: ‘Hoge rentes nekken ondernemers’
Lex van Teefelen: Dalend rendement crowdfunding 2019 / Flitskrediet: meer vloek dan zegen! 

This brings me back to where I started with: were we right in bashing bankers? Their processes are more sound, their communication is done with more restraint. There were extremes, mistakes were made and greed was obvious. I think most bankers tried and try to do an honest and professional job. Let’s keep each other informed, educated and ask before we judge. Hopefully we will get better in doing a proper funding job.

 

 

 

Pieter de Kiewit
Owner Treasurer Search

 

Blockchain Smart Treasury: game-changer for treasurers?

| 19-3-2019 | Carlo de Meijer | treasuryXL

Though blockchain is not yet well understood by many treasury people, and tangible real-world applications for the corporate treasurer’s day-to-day activities are still scarce, this technology is getting increased interest in the treasury world.

In August 2016 I wrote a blog in Finextra named “The Corporate Treasurer and Blockchain”. My conclusions at that time were that blockchain had the potential to fundamentally change the treasury function at corporates. For some it would even going to be a game-changer for treasury. The change might not be here yet, but it is coming, and treasurers need to take a long view on it.

But that is changing rapidly. The focus of blockchain developers is now turning from proof of concept projects to the creation of more practical, treasury-focused blockchain solutions. Recently we have seen a number of blockchain-based treasury trials that are worthwhile looking at. Last December R3 announced the completion of testing on a new blockchain-based KYC proof-of-concept, which was facilitated in collaboration with the French Association of Corporate Treasurers and a number of French banks.

One of the solutions that triggered me most is Smart Treasury by Boston-based fintech Adjoint, that is aimed to enable real-time gross settlement and continuous reconciliation and improve the liquidity management of the corporate treasurer. Main question is, could Adjoint’s solution be a break-through for blockchain in the corporate treasury world?

It is always interesting – and I am a very curious person – to see new initiatives in the blockchain scene and what they could bring for corporates esp. the treasury department.

So let’s have a deeper dive.

Complex treasury environment

Internationally operating corporates have undergone many transformations in their finance and treasury organisations triggered by technology innovations, regulatory initiatives and changed client behaviours. As a result today’s business environment for these corporates is highly complex from a treasury point of view.

In the digital era, real-time insight into a company’s global cash positions and managing credit facilities across all bank accounts of the group and the ability to move money intraday to where and when it is needed is increasingly needed to support this changing business environment.

Key challenge is to obtain consolidated information of group-wide multi-currency positions across a fragmented banking network in a timely manner. Today’s model of international correspondent banking however does not easily facilitate the ability to manage cash in a real-time environment.

Corporate treasurers are urgently looking for new ways to provide cash management with up to date – and if possible real time – information on cash positions and cash forecasts faster and with deeper insight, allowing corporate treasurers to better react to the company’s current cash and working capital needs.

In this context, they are significantly increasing their spending on treasury technology and innovations, to speed up and streamline their company’s cash, liquidity, risk and working capital management, in order to gain greatest visibility over their business critical function and reach greater strategic control.

Adjoint’s Smart Treasury: what does it bring for corporate treasurers?

Adjoint’s Smart Treasury solution, that was launched last year, contains a number of unique specifics that makes it very interesting for corporate treasures.

Smart Treasury should be seen as a multi-bank, multi-currency virtual account platform for real-time gross settlement and continuous reconciliation. This should allow corporate treasurers to untap liquidity in their various subsidiaries’ bank account.

Adjoint has combined blockchain technology with related smart contracts and APIs (or application programming interfaces) to create a solution that aims to dramatically speed up settling intercompany transactions in a secured way while significantly reducing the costs.

Most important features of this Smart Treasury solution are the following:

Distributed ledger: Auto reconciliation

Smart Treasury uses distributed ledger technology to auto-reconcile transactions information, thereby eliminate netting processes and improve FX management to provide treasurers with streamlined efficiency and improved, real-time visibility on cash positions.

Virtual accounts

Another interesting feature is that it enables a limitless number of virtual or “sub-accounts” for reconciling customer and suppliers payments. Companies can thereby consolidate costly, physical bank accounts into a selected number of blockchain virtual accounts. Smart Treasury thereby enables “purposed drive allocation”, thereby using smart contracts to designate how much and where digitised cash can be spent from these virtual accounts.

“Money can then be debited or credited among those accounts as needed, using smart contracts and APIs to make the necessaire FX translations, apply interest on intercompany loans and similar calculations.” Somil Goyal chief operating officer at Adjoint

In-house self-service bank

Smart Treasury consists of an “always-on” in-house self-service bank with “pre-established” rules for automated intra-company transactions. Here you could think of limits on how much can be automatically borrowed by entities based on pre-established interest rates. Nowadays, intercompany transactions, often conducted via an in-house bank, have become essential for multinational corporations. They seek to leverage internal resources more effectively. However, the overnight batch systems most companies use to settle transactions, can limit the transparency into subsidiaries’ account balances.

Smart Treasury Dashboard: access

The solution allows corporate treasury departments to operate their own private distributed ledger. This may enable them to choose which internal corporate entities and third parties including customers and suppliers may have access to the network via their Smart Treasury Dashboard and settle transactions directly with them in real time, rather than overnight or even longer.

But also regulators could be added on the platform which may help notional pooling in jurisdictions with currency controls, while improving the regulatory reporting process by automatically updating records and centralising all information in the ledger.

Smart contracts

Another key feature of Smart Treasury is the use of smart contracts. The tool’s Smart Contracts System uses blockchain to help teams define and set pre-configured rules that securely enable automated, real time transactions. These may include key corporate treasury functions such as regulatory and corporate compliance requirements including KYC; account opening or transactions such as intercompany loans, FX and netting, manage liquidity in multiple currencies, transfers among any approved entities etc. so lowering the costs of booking transactions between subsidiaries.

API integration with corporate ERP and TMS systems

Smart Treasury offers a nearly real-time API-based integration with organisation’s existing systems. Instead of replacing systems such as enterprise resource planning (ERP) and Treasury management system (TMS), Smart Treasury works with current systems as an easy-to-be-integrated overlay, preventing duplicate entries. In fact Smart Treasury complement these, improving the way they interact by speeding up intercompany transaction settlement. Through using smart contracts, all transaction information is auto-reconciled and automatically posted into treasury management systems in real-time.

“With Adjoint’s solution this takes place much faster, at a much lower cost, and it will actuality accept feed from the banks using APIs, which then feed the ERP – again using API – and it carries all of the information necessaire through smart contracts”.Daniel Blumen, Partner of Treasury Alliance

API integration with banks

Smart Treasury also offers a real-time API-based integration with banks for transactions outside the organisation. The solution allows the use of APIs for real-time intra-day bank transactions processing as opposed to end of day batch processing. They enable the transfer of critical information and data between corporate entities and their banks and data providers, as well as between corporate entities within the corporate.

Read the full article of our expert Carlo de Meijer on LinkedIn

 

 

Carlo de Meijer

Economist and researcher

 

Intercompany financing – complying with procedures

| 18-12-2017 | treasuryXL |

Many businesses (not just multinationals) finance the operations of their subsidiaries/affiliates via intercompany loans. During the financial crisis external funding became more difficult to obtain, and more businesses attempted to finance their operations internally. Whilst this can be a good procedure, consideration must be given to the fact that the loans must still be proper loans, compliant with normal market practices. Below we attempt to explain the relevant procedure.

Arm’s length principle

All terms and conditions of the intercompany loan – with special consideration for the interest rate – must be consistent with independent external loan funding. A business can not adopt a more generous approach to funding its subsidiaries than could be obtained externally. The pricing of the loan must reflect the perceived credit risk of the entity that is seeking funding.

Documentation

Just as with external financing, legal documentation needs to be drawn up and signed that clearly shows the terms and conditions of the loan. Standard covenants should be included together with a schedule showing repayment of principal and interest. If a subsidiary is granted an embedded option (early repayment without a penalty) then this must be clearly noted. Whilst the documentation does not have to be as large as that used by banks, it should always contain all relevant clauses, and both parties must adhere to the signed loan agreement. Included within the documentation should be a detailed explanation as to how the price and spread was determined, along with external data proof.

Credit modelling

As most subsidiaries are small and have no independent credit rating, an approach must be taken to attempt to define their creditworthiness. Standard metrics can be used to ascertain an internal rating. Just with a normal external loan, attention should be paid to the ability to repay. Whilst tax authorities may question the integrity of the credit modelling matrix, this can at least be negotiated if a dispute arises. If no matrix is available, then problems can occur.

Pricing

As previously stated, an internal loan should replicate the general conditions of an external loan. That means that when trying to determine the interest rate, full attention should be given to the funding costs of the main company. They need to determine what price they would pay externally to fund the loan and then apply a premium to the subsidiary. Traditionally rates can be fixed or floating with a premium.

Corporate Governance

Internal loans should always be monitored. They should not be a quick substitute for proper due diligence. Problems can easily arise if tax authorities reached the conclusion that the loan is being extended to a loss-making entity that would not receive funding externally.

Yield Curves (term structure of interest rates) – filling in the blanks part II

| 03-06-2016 | Lionel Pavey |

Most treasurers do not have access to a dedicated financial data vendor (Bloomberg, Reuters) but are regularly faced with having to discover prices related to yield curves. There are websites that can provide us with relevant data, but these are normally a snapshot and not comprehensive – the data series is incomplete. It is therefore up to the treasurer to complete the series by filling in the blanks. In my previous article I went over the first approach. Today I’ll talk about the second approach.

A second approach would be to apply a weighting to the known periods of the par curve and to average the difference out over the missing periods.

grafiek1_part2

Schermafbeelding 2016-06-02 om 13.49.46

This leads to 1 year constant maturity rates that are almost equal in value for all the periods between 2 known periods. Whilst these forward rates are also not correct they at least supply us with a visual indicator as to the general shape of the forward yield curve – the 1 year constant maturity rates

reach their zenith between years 12 and 14; after that point they then start to decrease.

Futhermore, taking into consideration the yield curve as shown in the graph, we can make the following conclusions about the 1 year curve:-

  • 11 year rate must be higher than the linear interpolated rate but lower than the weighted interpolated rate
  • 13 year rate must be higher than the weighted interpolated rate
  • 15 year rate must be lower than the linear interpolated rate and lower than the weighted interpolated rate
  • 16 year rate must be higher than the linear interpolated rate and higher than the weighted interpolated rate
  • 20 year rate must be lower than the linear interpolated rate and lower than the weighted interpolated rate
  • The implied forward 1 year constant maturity curve must be smooth and monotonic.

On the basis of these restraints a par curve can be built that leads to the following forward curve.

grafiek2_part2Schermafbeelding 2016-06-02 om 13.50.01

The rates for the missing periods have been calculated manually whilst adhering to the conditions mentioned before– there are formulae which would allow rates to be discovered (Cubic spline, Nelson Siegel etc.) – but these rely on random variables and I have yet to see anyone quote and trade prices based solely on a mathematical formulae.

Visually, the 1 year curve meets all the criteria for the construction of a yield curve, together with the underlying par and zero yield curves.

grafiek3_part2

 

To ascertain that the rates are correct, discount all the cash flows of the par yield for the given maturity – they should equal 100.

Here is an overview of all the implied 1 year rates using the different methods to construct the yield curve.

Conclusion:

For a quick calculation a straight line interpolation is acceptable with the warning that with a normal positive yield curve the real prices will be higher than the prices calculated by straight line interpolation. For a negative yield curve this would be reversed – real prices lower than interpolated prices.

The average difference between the par yield prices of the adjusted smooth yield and the straight interpolation yield are only 2.5 basis points. However, this difference is magnified when looking at a 1 year forward yield curve where the average difference is 22.5 basis points per period with a maximum of 53.5 basis points.

Next – Zero Coupon Yields and implied Forward Yields

Would you like to read part one of this article?
– Yield Curves (term structure of interest rates) – filling in the blanks

 

Lionel Pavey

 

 

Lionel Pavey

Treasurer

 

Yield Curves (term structure of interest rates) – filling in the blanks

| 27-05-2016 | Lionel Pavey

Most treasurers do not have access to a dedicated financial data vendor (Bloomberg, Reuters) but are regularly faced with having to discover prices related to yield curves. There are websites that can provide us with relevant data, but these are normally a snapshot and not comprehensive – the data series is incomplete. It is therefore up to the treasurer to complete the series by filling in the blanks.

A quick refresher about the construction of a yield curve raises the following points:-

  • All data must be from the same market (treasury bonds, Interest Rate Swaps (IRS) etc.)
  • A regular term (maturity) is preferred for ease of construction
  • A curve must be smooth
  • An implied zero yield curve can be built from the smooth par curve – a theoretical yield curve where no interest is paid until maturity. In a bond this would redeem at par (100) and be issued at a deep discount to par
  • A series of discounted cash flow factors (DCF) are produced
  • An implied forward curve with constant maturities can be built from the par curve
  • An implied forward curve must be monotonic – each point in an increasing sequence is greater than or equal to the preceding point, each point in a decreasing sequence is smaller than or equal to the preceding point

If we look at IRS par yield prices that can be found on a website, we can regularly see yield prices for periods from 1 year to 10 year inclusive, a 15 year price and a 20 year price. To construct a complete curve from 1 year up to and including 20 years we need to fill in the blanks at 11,12,13,14,16,17,18 and 19 years. These yields are assumed to be par yields – the coupon rate is equal to the yield to maturity and the instrument trades at par.

Before starting let us define the procedure for constructing a par yield curve:-
The methodology used is called “bootstrapping”. This allows us to extract discount factors (DCF) from the market rates. DCF’s allow us to calculate a value today for a cash flow in the future.

We assume that the nominal value for all calculation purposes is 100

For a 1 year rate we know the interest and redemption amount at maturity. A DCF is built whereby the net present value (NPV) of these future cash flows in 1 years’ time is equal to 100 or par.

For a 2 year rate we receive interest after 1 year and interest and redemption amount at maturity.

We discount the 1st years’ interest with the DCF we obtained from the 1 year rate and deduct this amount from our initial nominal of 100. This net amount is then divided by the interest and redemption at maturity (at end of 2 years) to obtain the DCF for the 2 year rate.

Example:

1 Year                                      7%                          2 Year                          9%

1 Year      
100 / (7/100+100) = 0.93457944 (DCF)

2 Year
9 * 0.93457944 = 8.41121496
100 – 8.41121496 = 91.58878504
91.58878504 / (9/100+100) = 0.8402640829

These DCF’s can then be used to find the NPV of any cash flow maturing in 1 or 2 years’ time.

The following example shows a yield curve from February 2013 published on the website of an interbank broker.

yield curve February 2013

yield curve February 2013

The quickest way to price the missing periods would be with straight line interpolation of the par curve between the known points – which would produce the following par curve, zero yield curve and forward curve with constant 1 year maturity.

yield curve February 2013 - 2

yield curve February 2013

Straight line interpolation

Straight line interpolation

 

Whilst the par curve and zero curve are smooth, the implied 1 year constant maturity curve is jagged and certainly neither smooth nor monotonic. The 11th 1 year period rate is lower than the 10th period and the 15th 1 year period rate is higher than the 16th period.

A second approach would be to apply a weighting to the known periods of the par curve and to average the difference out over the missing periods. Read more on this second approach in my next article which will appear next week.

Lionel Pavey

 

 

Lionel Pavey

Treasurer