OSIS has been nominated for the FD Gazellen Awards, which is an annual award for the fastest growing companies in the Netherlands. Each year the Financieel Dagblad, a Dutch daily financial newspaper, announces the winners of this prestigious contest. This November, OSIS placed #12 in the category small companies in the region West in the FD Gazelle Awards. We are very proud and thankful to our clients and will carry on!
In order to improve the statistical models of Open Source Investor Services, Michael Hogers researched the relation between default rates and loss given default for US mortgages. The thesis has been nominated by coordinators of the Econometric Institute of Rotterdam and represents the Quantitative Finance specialisation. The thesis shows that while macro variables and default rates share common cycles for conventional US mortgages, a unique cycle is observed for loss given default, implying that the relation between the default rate and loss given default is weak for conventional US mortgages.
OSIS has been nominated for the FD Gazellen Awards which is an annual award for the fastest growing companies in the Netherlands. Each year the Financieel Dagblad, a Dutch daily financial newspaper, announces the winners of this prestigious contest. The 2018 winner will be announced in November. Click on the link below to read more about this award and the criteria for entry.
OSIS will be participating in one of the panel discussions at the SCI’s 4th Annual Capital Relief Trades Seminar. We are very happy to be attending as this seminar in London and the SCI CRT conference in New York, are the best places for banks and investors in CRT transactions to meet and discuss the latest developments in this field.
On 4 September 2018 we were nominated for the Deloitte Technology Fast 50 2018. The Deloitte Technology Fast 50 is an annual election of the fifty fastest growing technology companies in the Netherlands. Thursday, October 11 the final ranking will be festively announced in Amsterdam.
OSIS has developed a statistical model to predict the probability of default (PD) of Dutch SME’s in line with the Basel definition of default. In doing so we overcome the lack of data that small banks and alternative lenders have and allow them to receive recognition from regulators and institutional investors. We hope this model will support small banks and alternative lenders to become a competitive and growing source of financing in the Dutch SME market.
We determine a fair market value of Dutch Residential mortgages, in accordance with IFRS 13, using loan level data provided by the originators.
IFRS 13 does not specify a detailed approach to use for valuing assets and therefore there is no market standard for the valuation of mortgages. The market value is the price that a knowledgeable and willing seller and buyer would agree in an orderly arm's length transaction at the reference date. IFRS 13 essentially requires that such market participants would follow the aforementioned approach in valuation and use it as a basis to agree on the transaction price.
The Dutch Central Bank (DNB) has published guidance on the fair value determination of Dutch mortgages for prudential purposes. Our valuation method aims to meet both IFRS and prudential requirements. We take into consideration: amortization types, time to interest reset, NHG guarantees, current loan to values and product specific options (caps/floor) including the option of the borrower to prepay without penalty.