Axis NIFTY Bank ETF · NSE:BNKETFAXIS
Axis NIFTY Bank ETF — Technical Presentation
8 slides from Axis NIFTY Bank ETF's technical presentation
Slide 1: DIVISIA: It's all about this equation
DIVISIA It’s all about this equation: Δ Energy = Δ Activity + Δ Structure + Δ Fuel Switching + Δ Efficiency In the Residential, Industrial and Transport Sectors
Slide 2: This project is important because
This project is important because: Current issues facing government: • Climate change work • Δ Activity • Δ Structure (e.g. transport mode switching) • Δ Fuel Switching • Δ Efficiency My own team’s work: • Understanding future energy needs • Δ Activity (e.g passenger km travelled) • Δ Structure • Δ
Slide 3: The data
The data: We get the data from major fuel users and/or other government agencies For the major transport modes we are collecting: • Fuel use • Activity (i.e passenger km travelled or freight-tonne km travelled)
Slide 4: Boons
Boons • Easy to engage with major fuel users (NZ is a small place) • We have pre-existing relationships with other government agencies • (E.g. Ministry of transport for a large amount of transport statistics) • Already have a lot of fuel use data available within our team • Experience calculating si
Slide 5: Booms
Booms • Bad understanding of what data is available within government that we can use, and how accurate it is • Difficulty estimating some activity values. Especially Buses and fishing vessels. • No fishing vessel data at all. We guess we could estimate it using fisheries economic activity • Large a
Slide 6: Estimating bus activity value for years 1990-2020
Estimating bus activity value for years 1990-2020: • For Buses we have two estimates we can use: • one that we don’t have much confidence in but that covers the full period we need • and an estimate for 2019 bus activity by EECA (energy efficiency and conservation authority) (another govt organizati
Slide 7: IEA's Energy Efficiency indicators report
IEA’s Energy Efficiency indicators report • We have to produce values on activity and energy use in different areas of transport. • In the past we have had issues gathering the necessary data for a lot of these values. • So we estimated these using the most accurate but simple methods we could. • We
Slide 8: Estimating most other values in EEI report
Estimating most other values in EEI report: • For single point of time estimates of fuel use (Residential and Transport values generally): • Scale fuel use by an activity measure to get values over time • Activity= GDP, Passenger km, Freight km • Industry and Commercial values are based on our value