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The Bank of England – a fintech company?
| 20-04-2018 | treasuryXL |
Transferwise is a peer-to-peer money transfer service with its main head office in London, whilst being based in Estonia. Turnover per month reached in excess of EUR 1 billion in May 2017. They have developed a money transfer systems that reduces the amount of cross border payments but trying to match supply and demand in different countries. By reducing the actual number of cross border payments and using mid-rates for FX calculations, they are able to offer a competitive alternative to traditional bank transfers.
They have now be granted direct access via the Faster Payments Scheme to the Real Time Gross Settlement system run by the Bank of England. Allowing direct settlement will lead to reductions in costs whilst, at the same time, speeding up the money transfers. This means that Transferwise can compete evenly with large commercial banks.
The Bank of England stated “by stimulating competition and innovation, we anticipate increased diversity and risk-reducing payment technologies will reinforce financial stability while enhancing customer service.” Fintech is having a clear impact on the revenue of traditional banks in London. A survey by Accenture shows that non banks now account for 14 per cent of the annual revenue in the payment sector.
This is forcing banks to design and adopt new solutions – mainly built around the blockchain. What is remarkable is that the Bank of England appear to be taking a very proactive approach to how the payments market will develop in the future, and recognising the role that Fintech has to offer in this area. They are looking at ways to increase efficiency and transparency in financial markets.
The Bank of England is leading the central bank market in providing new solutions. A policy of first adoption could lead to a huge advantage in the payment transfer market. As these solutions are cross border, other central banks would do well to investigate this trend and come up with their own solutions as soon as possible.
It also provides a counterpoint to MiFID II, and shows how the payments industry could be structured in the future.
If you have any questions, please feel free to contact us.
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Letter of Credit – financing international trade
| 19-04-2018 | treasuryXL |
When a buyer and seller agree to enter into a transaction that is cross border, one of the most used instruments to facilitate this transaction is a documentary letter of credit (LC). This is an international recognised and accepted method that is governed by the rules and regulations of the International Chamber of Commerce. LCs are mainly used for international transactions, where the seller requires additional security and also where the law in 2 deferent jurisdictions are not the same. However, protection is also given to the buyer. Here is a quick guideline to how this instrument works.
Deal
A buyer and seller agree to a trade and, invariably due to the distance between them, the different laws, and the fact that they may have no previous trading relationship, the trade will take place under a LC. Upon agreeing the trade, the buyer will contact his bank and ask them to issue a LC (Issuing Bank). As the bank will provide a guarantee role in this transaction, they first need to ascertain if the buyer has sufficient funding to settle the transaction.
The letter of credit is then sent to the seller’s bank (Advising Bank). Within this document the terms and conditions of the shipment are detailed. The issuing bank lets the seller know what documents are needed to accept the import, together with such items as the latest shipment date.
The seller will arrange for the necessary documentation and shipment. Then they will approach their bank and present them will the documents and the LC. This is all sent to the Issuing Bank who then checks that the documentation meets the terms contained within the LC.
Upon approval by the Issung Bank the following steps take place:
As the issuing bank has issued a guarantee, the in the event that all the documentation meets the criteria agreed upon, then they are obligated to make payment to the seller.
It is of course possible that there are discrepancies between the LC and the documents delivered. As the documents are delivered by the seller to their bank (Advising Bank), it is they who have the first task of checking everything. If discrepancies arise, the advising bank will endeavour to ensure that the documents amended. If the discrepancy can not be amended within the agreed time frame, then the documents will be forwarded to the Issuing Bank “in trust”. Sending documents in this way removes the guarantee on the original letter of credit, so caution is necessary. It is possible that despite the discrepancies, the buyer is still prepared to accept the shipment.
The list of necessary documents includes, but is not limited to:
Despite the guarantee from the Issuing Bank, there are always risks – default by any of the parties, legal risks, acts of war, documents not arriving on time etc. A letter of credit specifically deals with the documentation and not the goods itself.
This is one of the oldest and most trusted methods for arranging trade finance, and given the complexity with all the documents and the time it can take to cross the world, this is an area of banking that is very keen to explore the advantages offered by the Blockchain to accelerate the whole process.
If you have any questions, please feel free to contact us.
Data analysis – pros and cons
| 18-04-2018 | Lionel Pavey |
With the advent of computing and ever more powerful processing capabilities, we are living in a time where there is more and more data available within a company. Advocates of data mining speak of the advantages that can be obtained by analysing all the data and discovering trends within the data. But there is also the risk that we end up being swamped by the data overload – so much data, so little time. If we want to analyse all our data, what is it that we truly want to find? How can we interpret all the data and arrive at beneficial conclusions?
Treasurers and cash managers are long time users of data analysis – it is used to go from a macro level to a micro level for individual transactions. When designing a cash flow forecast it is essential to take the micro approach. There will always be peak days for outflows – wages are paid, normally, on 1 specific day of the month; on the last working day of the month there is large expenditure relating to taxes and social premiums. Additionally, if the company works with monthly subscriptions, there will be peak days for inflows as all the renewals take place. These “exceptional” items need to be input as hard data on the relevant working days to assist in presenting an accurate forecast.
Another application of data analysis is to interrogate the actual Days Sales and Days Purchasing Outstanding – DSOs and DPOs – that make up the cash conversion cycle. A lot of unnecessary working capital can be tied up in this process. Understanding the transactional characteristics of individual debtors and creditors can be very beneficial to freeing up working capital. Furthermore, it allows the company to review their relationships – is it worth maintaining certain contacts if they do not meet the agreed terms and conditions on their trade transactions.
It is also possible to conclude that certain clients could benefit from a more advantageous pricing policy. Rewarding those that comply leads to better relationships and the improvements in cash flow can help reduce external borrowing requirements.
When attempting to analyse data, it is imperative to first understand what you are looking for. Obvious metrics could be month on month sales or purchases, seasonal effects on turnover, new products, promotional offers etc. The act of analysing data, together with the awareness within the company that the data is being analysed, can lead to anomalies caused by people’s actions. Data input could be subject to a form of “window dressing” – entries are made before the end of the month and then corrected in the following month.
It is possible to conclude that there is a trend in the data – some people even look for these – that could lead to a false sense of conclusion. There is also the danger that 2 different streams of data are linked to each other because they show the same trends. When analysing data is it necessary to be open minded about the expected outcome. If people start analysing with a preconceived idea of what the outcome should be, human nature can intervene and the data is interpreted in a way that justifies the preconceived idea.
Data analysis is a technical discipline that can overlook the fundamentals. Before the CDO crisis of 2008, most banks agreed with the interpretation of the underlying data within the systems, without challenging the reality of the scenarios being presented. Even after the crisis started, the banks were unable to foresee the severe impact that it would have on the whole financial market. I have a curious leaning to analysing long term interest rates – I have collated data on Interest Rate Swaps since the inception of the Euro. Whilst I am able to spot long term trends, I have failed in ever calling the top or the bottom of the market.
When analysing data, it is imperative that the basic fundamentals of a company and its products is never forgotten, If sales are down, a more fundamental approach needs to be undertaken. Are our competitors cheaper, are their products better, is the economy in a downturn, are our products obsolete?
Analysis should always be undertaken, but the results must always be weighed up against the reality of the marketplace. It is too easy to draw conclusions – it gives the illusion that the analysis is good.
A lot of good things can come from data analysis, but it must not exclusively determine the actions that a company takes in its quest for growth and survival.
Lionel Pavey
Cash Management and Treasury Specialist