{"title":"Nonmarketable Assets Version of the CAPM: The Case of the Russian Stock Market","authors":"V. Alexander, Z. B. Lasha","doi":"10.21638/SPBU18.2018.201","DOIUrl":"https://doi.org/10.21638/SPBU18.2018.201","url":null,"abstract":"The paper deals with a modification of the CAPM, being called the Mayers model, which takes into account the existence of nonmarketable assets. Human capital is the classic example of such assets though we present and discuss some other important examples. This approach, as well as more advanced conditional CAPM, gives a correction to traditional CAPM beta coefficient as a measure of market risk. In this paper we present two attempts to test CAPM with nonmarketable assets. First, we start from analysis of the small size effect of the Russian stock market. We show that in this case the Mayers model gives the possibility of substantial improvement of risk exposure estimate. Second, empirical analysis in the case of human capital shows no impact of the Mayers model in all sectors of the Moscow Stock Exchange other than Innovation.","PeriodicalId":41639,"journal":{"name":"Rossiiskii Zhurnal Menedzhmenta-Russian Management Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46206375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Quality of Bank Risk Management: Triggers of Financial Problems","authors":"","doi":"10.21638/spbu18.2018.202","DOIUrl":"https://doi.org/10.21638/spbu18.2018.202","url":null,"abstract":"The significant decrease in the number of banks in the Russian Federation observed recently and arising high social costs of liquidation and sanitation procedures underpin the need for continuous improvement of early-warning systems of bankruptcy. The aim of the article is to identify the key leading indicators of financial insolvency of banks. The study was conducted on a sample of 49 banks from the cluster of medium and small banks in the Moscow region with a license revoked for economic reasons in the period from 2015 to the first half of 2016. The results were tested on a sample of 32 banks, both active and with withdrawn license. We identified the dependence of chosen leading indicators from a number of financial indicators displaying the quality of capital, assets, yield, profitability and liquidity. The results could shed additional light at the causes of financial problems of banks and improve the quality of risk management.","PeriodicalId":41639,"journal":{"name":"Rossiiskii Zhurnal Menedzhmenta-Russian Management Journal","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67783582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}