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008			211006s2022 nju ob 001 0 eng d
020			_a9781119841388 _q(Obook)
020			_a1119841380
020			_a9781119841371 _q(epub)
020			_a1119841372
020			_a9781119841364 _q(ePDF)
020			_a1119841364
020			_z9781119841357 _q(hardback)
035			_a(OCoLC)1277182541 _z(OCoLC)1275432793
040			_aDLC _beng _erda _cDLC _dOCLCF _dDG1 _dOCLCO _dTR-AnTOB
041	0		_aeng
042			_apcc
050	0	0	_aHD61 _b.G745 2022
090			_aHD61 _b.G745 2022EBK
100	1		_aGrimwade, Michael, _0http://id.loc.gov/authorities/names/no2016157457 _eauthor
245	1	0	_aTen laws of operational risk : _bunderstanding its behaviours to improve its management / _cMichael Grimwade
264		1	_aHoboken, NJ : _bWiley, _c[2022].
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aBIBINDX
506			_aAvailable to OhioLINK libraries
520			_a"Unlike Credit and Market Risk, Operational Risk is lacking an overarching theory as to how and why Operational Risk losses occur. This book not only provides this theory but goes onto apply it both to the redesign of the profession's existing tools and to make predictions as to how Operational Risk will behave in the future. The book is divided into three parts. The first section analyses Operational Risk loss data that has been systematically collected to identify patterns and trends. It then defines Ten Laws to explain these behaviours. The first five laws describe individual events, whilst the remaining five relate to groups of losses suffered by either individual firms or the industry as a whole. This section also includes taxonomies for causes, events and impacts. It concludes by assessing the effectiveness of these laws in explaining the observed patterns and trends. Section 2 applies the Ten Laws to the redesign of the profession's tools. Despite these tools evolving over the last three decades, through trial and error, they remain a source of widespread dissatisfaction. Systematically utilising the Ten Laws resolves many of the framework issues with which practitioners have struggled, such as, identifying predictive Key Risk Indicators. As it is emerging risks that are habitually cited as keeping CROs awake at night, the last section sets out a structured approach for their identification. It then applies the Ten Laws to make systematic predictions as to the future behaviour of Operational Risk in response to four key emerging risks: Pandemics, Climate Change, Cyber-Crime, AI and Machine Learning. The book concludes by considering how the various tools should be integrated into a holistic Operational Risk strategy to provide commercial value by supporting firms to stay within appetite, both now and in the future, grow their businesses both quickly and safely, and meet their stakeholders' expectations"-- _cProvided by publisher
650		0	_aOperational risk. _0http://id.loc.gov/authorities/subjects/sh2006001102
650		0	_aRisk management _0http://id.loc.gov/authorities/subjects/sh85114200 _92964
655		0	_aElectronic books _92032
856	4	0	_3Wiley Online Library _zConnect to resource _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119841388
942			_2lcc _cEBK