The city has been affected by recent floods following tropical storm Sendong (Washi, December 2011), typhoon Pablo (Bopha, December 2012) and tropical storm Vinta (Tembin, December 2017). The values show that there is no significant multicollinearity between variables. The basic building information, e.g., total amount of the property, construction type, number of floors, and number of underground floors, is used as indicators to reveal the typhoon vulnerability according to the building inventory. Don't…, Piazzale Badalocchio 9/b 43126 Parma (PR) – Italy. Fig. For this reason, insurers and reinsurers analyze extreme natural disasters in order to prepare reserves for losses from such extreme natural disasters. Even now I’ve heard people saying Hagupit (typhoon Ruby) is stronger than Yolanda. Nonetheless, these models are not designed to be adopted in the insurance industry because there are no finance modules that consider insurance concepts such as layers, deductible, and so on. This debris flow accounted for many of the Pablo victims, who died inside a public school building that was used as an evacuation center. In order to create the vulnerability functions and to identify the natural hazard indicators and basic building information indicators, information from the insurance record was used in the analysis. In the regression analysis of the commercial building, the adjusted R2 value is 0.332, which indicates that 33.2% of the variant of the loss ratio can be described by the regression model. These models are also used by insurers and reinsurers around the world to assess the risks of natural disasters such as hurricanes, tsunamis, typhoons, floods, earthquakes, tornadoes, and winter storms, and they are considered to be the standard methodologies for natural disaster risk management. Typhoons cause significant financial damages worldwide every year. DAVAO CITY (MindaNews/05 December)– “We cannot stop a storm but vulnerability is something we can address.” Dr. Gemma Narisma, head of the Regional Climate Systems program of the Manila Observatory, shows the satellite image of super typhoon Yolanda during the fourm with the members of the CODE-NGO in Davao City on Thursday. The damage was also enormous due to its severe wind speed, storm surge, and precipitation. Table 2 defines the loss and data. This concept is entered into the following equation (1): Because in each case, the loss from typhoon damages was relatively small, compared to the total sum insured, most loss ratio were inclined toward zero when presented by equation (1), and for this reason, the dependent variable was converted by log transformation in order to fit the normal distribution. This study conducted a statistical analysis on the damages caused by Typhoon Maemi, which was categorized as an extreme disaster, in order to identify the natural hazard indicators and basic building information indicators and to develop a vulnerability function. She admitted that the studies “are not conclusive” and that she could not tell if typhoons will become more intense in the next 20 to 30 years. The statistical analysis found that, in the case of commercial buildings, total value of property and construction type are the two significant vulnerability indicators among the variables of both the natural hazard indicators and the basic building information indicators. Although several previous studies on economic loss associated with natural catastrophe have identified essential risk indicators, there has been a shortage of more specific research studies focusing on the correlation between vulnerability and economic loss caused by typhoons. 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