Forecasting
Canadian banks see loan-loss reserves diverge
Provisions rise at Scotiabank and BMO; drop off at TD Bank, CIBC and RBC
Fund houses get picky over where to use machine learning
Buy-siders limit usage of deep learning techniques due to haziness over their inner workings
Podcast: Ronn on using a financial-economics approach to forecast crude oil spot prices
Professor of finance talks about using equity, index and crude oil options to forecast spot prices
Incorporating volatility in tolerance intervals for pair-trading strategy and backtesting
This paper incorporates volatility forecasting via the exponentially weighted moving average model into traditional tolerance limits for pair-trading strategies, and illustrates how the proposed method helps uncover arbitrage opportunities via the daily…
Ensemble models in forecasting financial markets
In this paper, the authors study an evolutionary framework for the optimization of various types of neural network structures and parameters.
Quantification of model risk in stress testing and scenario analysis
In this paper, the author's aim is to empirically analyze the numerical quantification of model risk, yielding exact buffers in currency amounts (for a given model uncertainty).
Quants clash: machine learning or linear models?
Some studies say the algorithms beat the common models; other studies say the opposite
Can nowcasting unlock factor timing?
Fulcrum Asset Management is running tests to see if fresher data can help improve factor allocations
Asset managers brave patchy data to nowcast China’s GDP
Techniques include using many datasets, relying on proxies and continually reviewing models
Canadian Big Five hoard reserves as credit outlook decays
Four of the five largest Canadian lenders saw provisions rise, with BMO the only outlier
Range-based volatility forecasting: an extended conditional autoregressive range model
This paper proposes an extended conditional autoregressive range (EXCARR) model to describe the range-based volatility dynamics of financial assets.
Asia moves: Nomura boosts Asia ex-Japan, Bank of America picks two Apac co-heads, and more
Latest job changes across industry
Winning investment strategies based on financial crisis indicators
The aim of this paper is to create systematic trading strategies built around several financial crisis indicators, which are based on the spectral properties of market dynamics.
Profit emergence under IFRS 17
Major changes are expected under the new IFRS 17 regime – insurance companies must make efforts to comprehend and communicate the full impact of changes to profit emergence under different scenarios, and its sensitivity to different methodology choices,…
We need a different approach to supervisory stress-testing
Confusing processes turn tests into template-filling exercise, says Garp’s Jo Paisley
Systemic risk in the financial system: capital shortfalls under Brexit, the US elections and the Italian referendum
This paper uses SRISK to quantify the estimated capital shortfalls of financial institutions under three relevant stress events that occurred in 2016: Brexit, the Trump election and the Italian referendum.
MVA: Forecasting initial margin for client trades and dynamic hedges
In its latest margin survey, the International Swaps and Derivatives Association reported that initial margin (IM) collected by the top 20 firms increased by 22% to $130.6 billion at the end of 2017. As new transactions become subject to IM requirements,…
Trading costs versus arrival price – An intuitive and comprehensive methodology
Craig Niven, managing director, cash equity execution at Societe Generale Prime Services explores how a five‑month study allowed the organisation to develop a market impact model using historical data, and why it is key for clients in the long term to…
EU power balancing faces major changes
Three upcoming pieces of legislation will have significant effects on balancing trades for the UK, says energy expert
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
RBC builds loan-loss buffer
Provisions for credit losses rise to C$346 million from C$274 million the prior quarter