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insurancesimulation: Combine insurancefirm and reinsurancefirm parameters init
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‎insurancesimulation.py

+25-40
Original file line numberDiff line numberDiff line change
@@ -141,47 +141,32 @@ def __init__(self, override_no_riskmodels, replic_ID, simulation_parameters, rc_
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self.agent_parameters = {"insurancefirm": [], "reinsurance": []} # TODO: rename reinsurance -> reinsurancefirm (also in start.py and below in method accept_agents
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self.insurer_id_counter = 0
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# TODO: collapse the following two loops into one generic one?
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for i in range(simulation_parameters["no_insurancefirms"]):
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if simulation_parameters['static_non-proportional_reinsurance_levels']:
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insurance_reinsurance_level = simulation_parameters["default_non-proportional_reinsurance_deductible"]
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else:
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insurance_reinsurance_level = np.random.uniform(simulation_parameters["insurance_reinsurance_levels_lower_bound"], simulation_parameters["insurance_reinsurance_levels_upper_bound"])
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riskmodel_config = risk_model_configurations[i % len(risk_model_configurations)]
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self.agent_parameters["insurancefirm"].append({'id': self.get_unique_insurer_id(), 'initial_cash': simulation_parameters["initial_agent_cash"],
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'riskmodel_config': riskmodel_config, 'norm_premium': self.norm_premium,
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'profit_target': simulation_parameters["norm_profit_markup"],
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'initial_acceptance_threshold': simulation_parameters["initial_acceptance_threshold"],
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'acceptance_threshold_friction': simulation_parameters["acceptance_threshold_friction"],
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'reinsurance_limit': simulation_parameters["reinsurance_limit"],
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'non-proportional_reinsurance_level': insurance_reinsurance_level,
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'capacity_target_decrement_threshold': simulation_parameters['capacity_target_decrement_threshold'],
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'capacity_target_increment_threshold': simulation_parameters['capacity_target_increment_threshold'],
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'capacity_target_decrement_factor': simulation_parameters['capacity_target_decrement_factor'],
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'capacity_target_increment_factor': simulation_parameters['capacity_target_increment_factor'],
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'interest_rate': simulation_parameters["interest_rate"]})
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self.reinsurer_id_counter = 0
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for i in range(simulation_parameters["no_reinsurancefirms"]):
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if simulation_parameters['static_non-proportional_reinsurance_levels']:
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reinsurance_reinsurance_level = simulation_parameters["default_non-proportional_reinsurance_deductible"]
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else:
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reinsurance_reinsurance_level = np.random.uniform(simulation_parameters["reinsurance_reinsurance_levels_lower_bound"], simulation_parameters["reinsurance_reinsurance_levels_upper_bound"])
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riskmodel_config = risk_model_configurations[i % len(risk_model_configurations)]
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self.agent_parameters["reinsurance"].append({'id': self.get_unique_reinsurer_id(), 'initial_cash': simulation_parameters["initial_reinagent_cash"],
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'riskmodel_config': riskmodel_config, 'norm_premium': self.norm_premium,
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'profit_target': simulation_parameters["norm_profit_markup"],
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'initial_acceptance_threshold': simulation_parameters["initial_acceptance_threshold"],
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'acceptance_threshold_friction': simulation_parameters["acceptance_threshold_friction"],
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'reinsurance_limit': simulation_parameters["reinsurance_limit"],
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'non-proportional_reinsurance_level': reinsurance_reinsurance_level,
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'capacity_target_decrement_threshold': simulation_parameters['capacity_target_decrement_threshold'],
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'capacity_target_increment_threshold': simulation_parameters['capacity_target_increment_threshold'],
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'capacity_target_decrement_factor': simulation_parameters['capacity_target_decrement_factor'],
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'capacity_target_increment_factor': simulation_parameters['capacity_target_increment_factor'],
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'interest_rate': simulation_parameters["interest_rate"]})
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for a_type in ["insurance", "reinsurance"]:
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_n = "no_" + a_type + "firms"
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for i in range(simulation_parameters[_n]):
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if simulation_parameters['static_non-proportional_reinsurance_levels']:
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reinsurance_level = simulation_parameters["default_non-proportional_reinsurance_deductible"]
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else:
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reinsurance_level = np.random.uniform(simulation_parameters[a_type + "_reinsurance_levels_lower_bound"], simulation_parameters[a_type + "_reinsurance_levels_upper_bound"])
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riskmodel_config = risk_model_configurations[i % len(risk_model_configurations)]
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self.agent_parameters[a_type + "firm"].append({
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'id': self.get_unique_insurer_id(), 'initial_cash': simulation_parameters["initial_agent_cash"],
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'riskmodel_config': riskmodel_config, 'norm_premium': self.norm_premium,
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'profit_target': simulation_parameters["norm_profit_markup"],
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'initial_acceptance_threshold': simulation_parameters["initial_acceptance_threshold"],
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'acceptance_threshold_friction': simulation_parameters["acceptance_threshold_friction"],
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'reinsurance_limit': simulation_parameters["reinsurance_limit"],
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'non-proportional_reinsurance_level': reinsurance_level,
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'capacity_target_decrement_threshold': simulation_parameters['capacity_target_decrement_threshold'],
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'capacity_target_increment_threshold': simulation_parameters['capacity_target_increment_threshold'],
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'capacity_target_decrement_factor': simulation_parameters['capacity_target_decrement_factor'],
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'capacity_target_increment_factor': simulation_parameters['capacity_target_increment_factor'],
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'interest_rate': simulation_parameters["interest_rate"]})
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# set up remaining list variables
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