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Organisations as organisms 2020-12-26 14:22:40

Organisations as organisms

 

Many of us find finance difficult to learn. We often don’t have firsthand knowledge of financial operations of organisations. We often don’t have intuition about financial concepts. But we are very familiar with our daily lives. Just think organisations as organisms. Finance and many other subjects will be much easier to connect.

 

You might protest. Organisations are not organisms. Organisms will grow, mature, decline and die. Organisations, if well managed, can last forever. However, if you look at statistics, most companies also grow, mature, decline and die. One way to measure the health of a company is its credit rating. An individual company’s credit rating can improve over time, just like an individual’s health condition can improve over time, even when one is old. However, statistically, the average credit rating of a cohort of companies will decline over time, as these companies age. We will leave the detailed discussion on statistics to the appendix.

 

Once we treat organisations as organisms, many problems in finance become very easy to understand. One problem is the mode of financing. There are two main methods of financing: equity financing and debt financing. We also need to decide whether we shall retain earning or distribute earning as dividend. These questions are unfamiliar to most of us. We find them difficult to understand. But we can learn a lot from the financing methods of our own lives, which are more familiar to us.

 

When we are small children, are we financed by parents or by bank loans? When you are five years old, your parents are entitled to think you as a future billionaire. But a bank won’t be persuaded to loan you a million dollar because of your future prospect. You have to be finance by your parents’ money, or equity. You can’t be finance by loans from a bank, or debt. As you grow older and have a steady income yourselves, you can get mortgage for your home purchase. You can get debt financing. When you have a family and settle down, you have kids and distribute your earning to your next generation or other people. You distribute your incomes as dividends. This is the financing life cycle for individual persons.

 

From the evolution of financing methods at different ages, you can understand corporate financing much easier. When a company is young, it requires heavy investment and has little earning. Few banks are willing to lend it money. It has to rely on owners’ equity financing. As a company starts to generate earning, banks and capital markets will be confident enough to loan it funds for further expansion. This is debt financing. As a company matures and generate steady streams of earning, it will distribute its earnings as dividends to fund growth opportunities elsewhere or other needs. This is the financing life cycle for individual companies. It is very similar to the financing life cycle for individual persons.

 

Finance literature piles up many papers to explain why and how companies choose different modes of financing. Personally, I find the explanation of financing life cycle most illuminating. Once we think organisations as organisms, finance and other subjects will be less remote. They will be easier to understand.

 

Appendix: Transition probability matrix of debt ratings

 

Each year, rating companies, such and Standard & Poor and Moody’s, will summarize the changes of credit rating of companies into a table. This table is called transition probability matrix. A typical transition probability matrix, taken from Standard & Poor, looks like this.

 


AAA

AA

A

BBB

BB

B

CCC

Default

AAA

0.908

0.083

0.007

0.001

0.001

0.000

0.000

0.000

AA

0.001

0.912

0.079

0.006

0.001

0.001

0.000

0.000

A

0.009

0.024

0.900

0.054

0.007

0.003

0.001

0.001

BBB

0.000

0.003

0.059

0.869

0.053

0.012

0.001

0.002

BB

0.000

0.001

0.007

0.077

0.805

0.088

0.010

0.012

B

0.000

0.001

0.002

0.005

0.065

0.827

0.041

0.059

CCC

0.002

0.000

0.002

0.013

0.023

0.129

0.606

0.225

Default

0.000

0.000

0.000

0.000

0.000

0.000

0.000

1.000










sum of column

0.920

1.024

1.057

1.025

0.955

1.060

0.659

1.300

 

The above table requires some explanation. In general, a company’s credit rating can be from AAA to default. AAA is the highest credit rating, then AA, A, BBB, BB, B, CCC. Default is the lowest rating when a company defaults on its debt payment.

This table is called the transition probability matrix. It has eight rows and eight columns. The number at first row, first column is 0.908. On average, there is a 0.908 probability that a AAA bond will remain AAA the next year. The number at first row, second column is 0.083. On average, there is a 0.083 probability that a AAA bond will become a AA bond the next year, one slippage in credit rating. The number at second row, first column is 0.001. On average, there is a 0.001 probability that a AA bond will become a AAA bond the next year, an enhancement in credit rating. The sum of all numbers in each row is one, since the probabilities sum up to one.

 

We want to extract information about the long term health of companies from the transition probability matrix. First, we look at transition probabilities between AAA and AA bonds. Every year, there is a 0.083, or 8.3% probability a AAA bond is downgraded to AA bond. Every year, there is a 0.001, or 0.1% probability a AA bond is upgraded to AAA bond. From these data, it seems that there is a trend of declining health of companies every year.

 

Then we look at transition probabilities between BBB and BB bonds. Every year, there is a 0.053, or 5.3% probability a BBB bond is downgraded to BB bond. Every year, there is a 0.077, or 7.7% probability a BB bond is upgraded to BBB bond. From these data, it seems that there is a trend of slightly improving health of companies every year. From the transition probability matrix, we can’t be certain whether the overall health of companies decline every year.

 

To obtaining clearer picture, we can multiply transition probability matrix multiple times to see the long term results. It is easy to perform matrix multiplication with Excel. We can use the mmulti command. The result of the sixty fourth power of the matrix is

 


AAA

AA

A

BBB

BB

B

CCC

Default

AAA

0.029

0.117

0.224

0.159

0.078

0.064

0.010

0.318

AA

0.024

0.098

0.198

0.146

0.073

0.062

0.009

0.389

A

0.022

0.085

0.174

0.130

0.066

0.056

0.009

0.458

BBB

0.017

0.067

0.139

0.107

0.056

0.048

0.007

0.559

BB

0.011

0.044

0.093

0.073

0.038

0.034

0.005

0.702

B

0.006

0.024

0.053

0.042

0.022

0.020

0.003

0.829

CCC

0.004

0.014

0.030

0.024

0.013

0.011

0.002

0.903

Default

0.000

0.000

0.000

0.000

0.000

0.000

0.000

1.000










sum   of column

0.113

0.450

0.911

0.682

0.346

0.294

0.045

5.157

 

 

From the above table, we can find the values are highly concentrated at the last column, the default column. The last row is the sum of each column. From the iteration results,  after sixty four years, the majority of the companies from that cohort will default. Of course, we can’t interpret it too literally. It is possible that some companies, due to poor performance, have been acquired by other companies. Some companies, due to low credit rating, are unable to obtain, or choose not to seek further funding from the debt markets.

 

But the overall deterioration of the health of companies toward default is unmistakable. It is the birth and spinoff of new companies that keep rejuvenate the overall economy. Similarly, the overall deterioration of the health of any cohort of population toward death is unmistakable.  It is the birth of new people that keep rejuvenate the overall society.

 

For Excel calculations related to the transition probability matrix, please refer to

http://web.unbc.ca/~chenj/course/rating%20migration.xlsx

 

 


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· Poems about old age
· Host
· Insulate
· The default choice is to defau
· Traps and trappings
· No comfort without fort
· Sword and word
· Quest
【语言(九)】
· Nostalgia
· 徐江伟的历史理论
· 楚和梦
· Advice and vice
· Principle, principal and inter
· 狼
· Tribute
· Illusion and disillusion
· The gorges are gorgeous
· When June met August
【金融】
· Passive investment strategy an
· The size of your generation an
· Why it is optimal to be optimi
· Debt is an added risk
· Should arithmetic or geometric
· What constitute risk free asse
· A brief introduction to the se
· How to measure return
· The Big Short
【科学(七)】
· What is the meaning of life ex
· 一个不会摄影的人的感悟
· What we need, big data or big
· 进化理论的数学模型
· On inequality
· Grass from the old world and t
· 人类的平均寿命能到一百岁吗?
【人口(三)】
· 中国目前的人口状况
· 一个社会人口中位年龄的趋势
· 鼓励生育的政策能提高生育率吗?
· 政府,家庭,和人口结构
· 从无籽西瓜说起
· 从炒股谈起
· The meaning of life
【诗词(七)】
· Edge
· Remember
· The power
· Truth in science and religion
· Happy in the backyard
· 野心
· Gene
· Intend
· RIP
· Nagging from an old man
【语言(八)】
· H, 日和 Helio
· Duo and double means two
· Good, gooder; bad, better
· 相似的形状,相似的读音,相关的
· 家
· 新年话创新
· Language, languish, anguish
· 钟表
· How to learn English effective
· 不通则痛,通则不痛
【科学(六)】
· 请教一个统计学的问题
· 数学及其应用
· On amateur and academic resear
【经济(四)】
· How much we need to save for r
· How pension system destroys ou
· Shall we buy insurance?
· An Entropy Theory of Value
· Total value of gold and some
【音乐】
· Suo Gan
· Mainstream rappers
· A Candle in the Wind
· 缺憾之美
· Swing low
· Going home
· River of no return
· Raw and refined: Two versions
【经济(三)】
· Own something small wholly or
· Money as a performance enhance
· How much we pay for retirement
· How to reduce anxiety over fi
· How to trim a tree or an econo
· A critique of economic theory
· The most depressing (exciting)
· On the concepts of earning, in
· 数学:应用和乐趣 (修订版)
【诗词(六)】
· Spring up and fall down
· Press
· Within and Without
· Verse
· Front
· Heroine and Heroin
· Sterilize
· Win
· Low
· Port
【诗词(五)】
· Pet and Pest
· Ease
· 忘,妄,望
· Seasons
· Envelope and develop
· Sorrow
· Home
· Haze
· Ex and Re
· Edge
【科学(五)】
· Why highly educated women and
· On the concept of perfectness
· Reflection from a riddle
· On averaging denominators
· Integrating mathematical finan
· 苦难是最好的学校
· Read The need for a new public
· The earth is a gigantic batter
【语言(七)】
· 想象和相象
· 汉语和英语读音的相似
· 双字词的来源
· 标致和婊子
· Credible and Incredible
· 英语和汉语类似的构词法
· Lect
· Excite and Incite
· Forget and For Get
· Lax and relax
【杂谈(三)】
· 经纬和泾渭
· Heretics are true believers
· Faith or good deeds
· 养儿还是育女?
· Should adult children stay wit
· 女儿制作的录像
· 儿子唱的rap
· 女儿带着女儿来看我们,写的一段
· Frills
【语言(六)】
· 腿脚和退却
· Copulate, copy, populate
· Emergence and emergency
· I am, I love
· Invent
· Prevent
· Repair
· Tart and top, start and stop
· S is about
· 同样的世界,不同的视角
【诗词(四)】
· On the wisdom of wisdom teeth
· Stalin Rap to Hitler and Mao
· 夕阳
· Sunshine
· Temp
· Longing
· Part
· Omen
· Winter night in the north
· An Old Car
【诗词(三)】
· Snow
· My Dear Sun
· When
· Cut Bank
· When you try
· Winter in the deep north
· 你家的月亮
· Good bye, my friends
· 当生命之火慢慢熄灭
· 公猫
【语言(五)】
· 兴趣,利益和利息
· Over 和 Overture
· Ruler
· Inspire and Expire
· 哥哥的歌
· Rest
· Decadence and decay
· 阀:大人物是干什么的?
· 奴隶的心
· 为什么我们喜欢压韵?
【语言 (四)】
· Screw and screwed
· 黄
· Kind
· Sun and moon
· Free
· Norm, normal and Normans
· Bella and bellum
· Two meanings of like
· What is a theory?
· What is man?
【经济 (二)】
· Reading James Galbraith’s The
· 为他人作嫁衣裳:贸易强国的共同
· 什么是内需不足?
· 关于持续的贸易不平衡
· A long tradition to connect th
· On persistent trade imbalance
· On green economy
· What are rights: Some reflecti
· On Risk Management
· 怎样计算股票的融资成本和预期回
【杂谈 (二)】
· There is more brainwashing in
· 看女儿
· 女儿初为人母
· Weather and climate
· 老三的一篇短文
· When defects become an advanta
· Service of necessities and ser
· 女儿的帖子
· 荷花和塘泥
【科学(四)】
· Predictions in social sciences
· 数学的现状和未来
· Social structures: A perspecti
· 温度和情绪 (temperature and t
· Learning, memory and decision
· The Least Action Principle: It
· When an electron falls to a pr
· 为什么鱼比肉更容易煮熟?
· 一篇关于The Unity of Science a
【诗词(二)】
· I’d rather
· 日暮
· 池塘里的污泥
· Over and under
· Bond and bondage
· 夕阳
· Dandelion
· 早点睡觉
· 在我慢慢褪色的世界里
· 狮的低吟,诗的回声
【语言(三)】
· 相似的单词,不同的意思
· 小米和 millet
· AM is love
· 什么是不够
· Easter: 词的来源
· 论所谓的正能量 (On being posit
· Terr 是土地
· Radical 的意思是什么?
· 努力的奴隶
· Tri 是三
【诗词】
· 风筝:孩子离家
· 篝火
· 落日:致老去的人们
· 杜达尔和玛丽亚
· Deep North
· Driving crazy
· 燃烧和发烧
· 满月的冬夜
· 献给空巢的父母
· Burning and burn out
【健康(三)】
· Mentally stimulating
· On obsessive compulsive disord
· 吃盐和生育
· Ginger and gingerly
· Principle Based Medicine
· Why we need pain?
· 关于自闭症
· 健康的定义
· 针灸的原理
· 情感的守恒定律
【科学(三)】
· 数学及其在社会科学中的应用
· 为什么光线弱的地方会觉得浪漫?
· 美是平均,美是不变的性质
· 颜色和温度
· 简洁就是美
· 栖息之地:健康的树和濒死的树
· 落红不是无情物,化作春泥更护花
· 为什么肥沃的土地上很难找到先锋
· 不平等,效率和系统维护成本
· 生物学的统一理论
【语言(二)】
· 论精美
· 铁 (fer)
· 家
· 我,倭,和,we
· 鹪鹩,娇娆,wren, 人,文
· 牡丹,Botan, Botany
· 人多则移
· 英语中的几个象形词
· 他和它
· 趣味英语:一个不引人注意的前缀
【科学(二)】
· 基因突变不是完全偶然的
· 生物学和生态学的结合
· Energy consumption and cost
· 人类的平均寿命能到一百岁吗?
· 蝴蝶效应并不存在 (兼论偏微分
· 科学与经济学的统一
· 意识: 一个经济学和物理学的理论
· 诺奖得主年龄的变迁
· 学科细分: 社会停滞和衰退的表征
【健康(二)】
· On cortisol and other drugs
· 为什么负氧离子有益健康
· 吃冰和减肥
· 实用生理学
· 为什么晒太阳有好处?
· 为什么练功经常用圆型姿式?
· 脉搏中包含多少信息?
· 外科手术不伤身体吗?
· 头痛医脚
· 怎样才能改善内脏的功能
【人口(二)】
· 政府的法律和自然的法律
· 出生率,平均寿命,生活水平和社
· Holmes stories: The number of
· 个体年龄和社会年龄
· 多子多福
· 人口塌陷: 真正的悲剧
· 华人的高智商和低生育率
· 走出非洲
· 生命就是竞争
· 什么是文化
【人口】
· 聪明的代价:亚当和夏娃的故事
· 为什么大道至简
· 论移民
· 人口问题文章的一个汇总
· 人口警报?
· 人口红利和人口投资
· 多生孩子: 靠政策,还是靠自己?
· 华而不实和春华秋实
· 劝君莫惜金缕衣,劝君惜取少年时
· 政府越大,出生率越低
【政治】
· 关于全民基本收入
· 六四还是六三?
· Iron and blood
· 华人参政不够踊跃吗?
· 谁得益于大政府?兼论美国大选
· 印一百元假钞是犯罪,印一万亿真
· 量化宽松和猪肉注水
· 百年大势和英国脱欧
【杂谈】
· 搭错车
· 龙图腾的含义
· 个体的肥胖和社会的肥胖
· 在什么年纪,做什么事情
· 早晨出行和下午出行
· 男学生在哪里?
· 贱和基本
· 少数的重要性
【经济】
· 效用函数是什么样子的?
· 经济学理论不应该建立在拓扑学基
· 谁是二十世纪最伟大的经济学家?
· 谁是十九世纪最伟大的经济学家?
· 非平衡态经济学理论简介
· 凯恩斯主义适用的环境
· 从日本的负利率谈起
· 关于利率
· 生产过程各要素之间的关系
· 平衡态和非平衡态经济学
【加拿大】
· 一个登山爱好者的历险 (附视频
· 回归
· 海达圭游记
· 天尽头
· 红河谷歌词的变迁
· 洄游的三文鱼
· 碧西(BC)的风景和阿省的风景
· 中加教育比较
【语言】
· 决定和 decide
· 仇的两种读法
· 小儿子教我读书
· 汉语单词的起源
· 舒服和束缚
· 姓张的人为什么这么多?
· 纽,妞,丑,new, 牛
· 姜太公的故事
· 语言的产生和演变
【科学】
· 科学研究:缺的是钱吗?
· 数学:应用和乐趣
· 汉字和科学研究
· 社会生物学与社会
· 有趣的化学
· 蒲公英和科学研究
· 当代没有科学大师吗?
· 数学,美和现实
· 现实世界:理解数学的金钥匙
【健康】
· 按摩脚底为什么这么重要?
· 中医的疗效(续)
· 从蛋白质的不同分解途径看痛风的
· 中医的疗效
· 从哮喘的治疗谈预防
· 实用生理学
· 什么是酸性食物?
· 肥胖和内脏功能
· 呼吸的方法
· 关于抑郁
【科学与经济】
· 阅读The Unity of Science and E
· 信息和熵的等价性
· 知觉的简单和数学的简单
· 一流的研究: 真那么难吗?
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