Indexing the soil 33
Thus, RM approaches the soil’s dynamics primarily by means of probabilistic modelling where temporality is considered only from the perspective of a
flattened time horizon that does not advance. The guide stresses simple and
efficient ways of controlling information, whereby for modelling purposes,
temporality is primarily treated as a spatialised category.
Third, the situation is slightly complicated by the fact that RM recommends using one-year time frames for modelling risks: ‘When estimating
metrics such as the capital required or the probability of ruin, the models only consider these risks over a one-year horizon’ (RM: 97). Practically,
this implies that the model will take into account incremental change; every
year, the previous year’s data will be added to earlier data and can thus
redirect the model’s values, if ever so slightly.
Fourth, while long-period prediction is left out of the modelling, the
guide still recommends that actuaries do reflect on scenarios stretching
from three to five years to reach a better understanding of the product’s
likely performance (RM: 97). In other words, although the model is seen to
function best if kept simple and temporal dynamics are left out, its users are
still advised to retain a broader prudential view in which the model is not
their sole source of information.
Fifth, another time frame is given by the global financial markets within
which index insurance operates (RM: 24). The renewal period of contracts
takes place yearly (Jarzabkowski et al. 2015). Prices will go up and down in
correlation to other fields where (re)insurers are active and face risk events
in a wide variety of business sectors and in all four corners of the globe.
Thus, broader financial considerations can profoundly affect the price range
in which index insurance operates; these dynamics constitute a timescape of
its own that will affect index insurance.
Whichever way temporality is objectified for the purposes of index insurance, it is significant that RM does not deem it possible to model temporal
change efficiently. The uncertainty included in the modelling of historical
data is controlled on the basis that ‘future patterns will be similar to those
in the past’; in other words, there is no aspiration to ‘account for possible
changes in the systems themselves over time’ (RM: 125–6). Such a drastic reduction of the information included has important consequences.
Although the ecological environment is taken into consideration in the early
build-up of the model, the guide’s choice is to assume that the probability of
risk events does not alter in the future; the world is perceived as governed
by systemic stability. This results in a situation where index insurance in the
form advanced by RM is not useful for modelling the impact of climate change.
Modelling payout ratios
The surprising choice of leaving out temporal dynamics has as its background the aim of making the model as simple and elegant and thus as easily operable as possible. In the guide, a central principle for evaluating the
Thus, RM approaches the soil’s dynamics primarily by means of probabilistic modelling where temporality is considered only from the perspective of a
flattened time horizon that does not advance. The guide stresses simple and
efficient ways of controlling information, whereby for modelling purposes,
temporality is primarily treated as a spatialised category.
Third, the situation is slightly complicated by the fact that RM recommends using one-year time frames for modelling risks: ‘When estimating
metrics such as the capital required or the probability of ruin, the models only consider these risks over a one-year horizon’ (RM: 97). Practically,
this implies that the model will take into account incremental change; every
year, the previous year’s data will be added to earlier data and can thus
redirect the model’s values, if ever so slightly.
Fourth, while long-period prediction is left out of the modelling, the
guide still recommends that actuaries do reflect on scenarios stretching
from three to five years to reach a better understanding of the product’s
likely performance (RM: 97). In other words, although the model is seen to
function best if kept simple and temporal dynamics are left out, its users are
still advised to retain a broader prudential view in which the model is not
their sole source of information.
Fifth, another time frame is given by the global financial markets within
which index insurance operates (RM: 24). The renewal period of contracts
takes place yearly (Jarzabkowski et al. 2015). Prices will go up and down in
correlation to other fields where (re)insurers are active and face risk events
in a wide variety of business sectors and in all four corners of the globe.
Thus, broader financial considerations can profoundly affect the price range
in which index insurance operates; these dynamics constitute a timescape of
its own that will affect index insurance.
Whichever way temporality is objectified for the purposes of index insurance, it is significant that RM does not deem it possible to model temporal
change efficiently. The uncertainty included in the modelling of historical
data is controlled on the basis that ‘future patterns will be similar to those
in the past’; in other words, there is no aspiration to ‘account for possible
changes in the systems themselves over time’ (RM: 125–6). Such a drastic reduction of the information included has important consequences.
Although the ecological environment is taken into consideration in the early
build-up of the model, the guide’s choice is to assume that the probability of
risk events does not alter in the future; the world is perceived as governed
by systemic stability. This results in a situation where index insurance in the
form advanced by RM is not useful for modelling the impact of climate change.
Modelling payout ratios
The surprising choice of leaving out temporal dynamics has as its background the aim of making the model as simple and elegant and thus as easily operable as possible. In the guide, a central principle for evaluating the