8.6. Loss reserves are calculated using the closure method. Trend is 6%. Percentage of claims closed and averageincremental severity trended to CY5, by development year, areDevelopment Year2 3 4011500 2000 5000 1000040% 30% 50% 60% 80%520000Average trended incremental severity 1200Percentage of claims closed100%For AY4, expected ultimate claim count is 1000. 500 claims were closed during CY4 and 100 during CY5.Calculate the loss reserve for AY4's losses.

Answered: Image /qna-images/answer/6a60f547-d46f-4e37-98fc-49413b1bc85d.jpg

Answered: 8.6. Loss reserves are calculated using…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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53. Calculate seasonal index numbers from the following data : RATIO OF OBSERVED TO TREND VALUES (%). Year II IV 2012 108 130 107 93 2013 86 120 110 91 2014 92 118 104 88 2015 78 100 94 78 2016 82 110 98 00 86 2017 X3 If the sales of goods X by a firm in the first quarter of 2018 are worth Rs. 2,00,000, determine how much worth of the goods should be kept in stock by the firm to meet the demand in each of the remaining three quarters of 2018 by using the seasonal index numbers calcuiated above. 106 118 105 98
15. Exponential Smoothing is usually applied to: A. SHORT-TERM FORECASTING B. LONG-TERM FORECASTING C. BOTH
Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
6. Present the following data by a suitable diagram showing. The sales and net profits of a private company. Year Sales Net Profits 1998-1999 14% 49% 1999-2000 10% -25% 2000-2001 13% -1% es ehsinar wer lo
Use the data from the following four stocks to answer the questions below: Yields Year TLS DI PFE WMT 20x5 12.00% 4.50% 5.80% 11.30% 20x6 13.30% 5.30% 5.70% 9.00% 20x7 10.20% 3.10% 5.90% 13.90% 20x8 9.30% 2.70% 4.50% 14.80% 20x9 8.60% 1.90% 6.30% 15.00% a. Classify the correlations between each pair of stocks as positive correlation (PC), perfectly positive correlation (PPC), negative correlation (NC), perfectly negative correlation (PNC), and no correlation (NC): TLS – DI ___________ DI – PFE __________ TLS – PFE __________ DI – WMT _________ TLS – WMT _________ PFE – WMT _________
Compute the NPV statistic for Project Y if the appropriate cost of capital is 12 percent. (Negative amount should be indicated by a minus sign. Do not round intermediate calculations and round your final answer to 2 decimal places.) Project Y Time: 1 2 3 4 Cash flow: -$8,000 $3,350 $4,180 $1,520 $300
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.
Price elasticity of demand (supply) or simply elasticity of demand (supply) measures the relative or percentage variation experienced by the quantity demanded (supplied) as a consequence of a change in the price of one percent (1%); In other words, it measures the intensity with which buyers (sellers) respond to a change in the priceprice. Elasticity is often used with respect to the price-demand relationship or the price-supply relationship, but the applicability of this concept is not restricted to that single case, but is broader, since the elasticity is calculated in percentages, since it is the only way to obtain a common unit of measure. When calculating the elasticity in arelationship, the units of measurement are maintained, therefore, they do not measure a proportional change, but a propensity, such as the well-known propensit to Keynesian consumption. The rate at which the selling price changes and from a product, with respect to its supply "x", is given by the following…
47. Given the following data : Weekly take-home pay (wages) Consumer price index Year 109.50 112.8 2012 2013 112.20 118.2 2014 116.40 127.4 2015 125.08 138.2 2016 135.40 143.5 2017 138.10 149.8 () What was the real average weekly wage for each year ? (i) In which year did the employees have the greatest buying power ? (ii) What percentage increase in the weekly wages for the year 2017 is required (if any) to provide the same buying power that the employees enjoyed in the year in which they had the highest real wages ?
The following table shows the average monthly production of coal in tonnes for the year 2010-2019. Year Production (in tonnes) Year Production (in tonnes) 2010 50.0 2015 38.1 2011 36.5 2016 32.6 2012 43.0 2017 41.7 2013 44.5 2018 41.1 2014 38.9 2019 33.8 Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 2017. What is the percentage (%) change in the production from 2016 to 2019?

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