Mortgage的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

Strategically Transforming the Mortgage Banking Industry: Thought Leadership on Disruption from Maverick Ceos

為了解決Mortgage的問題，作者Deitch, James 這樣論述：

Strategically Transforming the Mortgage Banking Industry discusses how to strategically transform a real estate lender's business to increase efficiency and profits using case studies of twenty-five mortgage banking industry leaders who are changing the industry by leveraging proactive strategies an

d solutions. Many in the industry appear to accept the 'no strategy' view of the mortgage banking business but at this point in its history, there are many strategic choices that can be freely made by mortgage executives. Some executives, in fact, are rapidly examining strategy and becoming disrupt

ors in the industry. This book discusses the history of the mortgage industry, disruptions in the established business models, as well as how to harness these disruptive forces and use them to your advantage. James Deitch, CEO, Teraverde Management Advisors, USA

Mortgage進入發燒排行的影片

COVID-19 疫情期間企業授信策略之研究

為了解決Mortgage的問題，作者蔡燕玲 這樣論述：

本研究將以台灣地區某資訊通路商之「授信策略」為主，進行客戶狀況之比較，是否可以透過信用風險模組影響因子來訂定出更為符合現況之授信機制，授信因子的部份透過專家訪談來分出重要性為何，並以敘述性進行分析，找出最重要的因子，來幫助資訊通路商來針對授信策略進行調整，並且利用2018年1月到2021年12月共計48個月樣本數150家的賒銷、收現的客戶應收帳款來解析疫情前後整個應收帳款，從客戶基本資料表、每月銷售統計、應收帳款報表來進行整理，計算應收帳款平均加權週轉天數的差異，從每月的資料整理成每年進行群組比對。由實證結果，該資訊通路商的交易型態94%是賒銷，應收帳款加權平均的轉天期的長短，說明疫情之前周

轉天期較短，疫情之後因周轉問題慢慢浮現，導致應收帳款回收天期較長，故利用此深入探討的機會檢視授信策略修正，整理了所有應收帳款收款率及應收帳款加權平均周轉天期的結論後，進行檢討授信策略政策，發現除了風險因子特別注意之外，應加強與客戶交易後的應收帳款管理，故提出建議，修正公司的信用評等表，建議其業務部門及授信部門將此點列入參考數據，後續將可以做風險控管及客戶分級。

Integrity: My Slow and Painful Journey to Success

為了解決Mortgage的問題，作者Stearns, Glenn 這樣論述：

Born to alcoholic parents, Stearns was diagnosed with dyslexia, failed fourth grade, and fathered a child at the age of fourteen. He graduated high school in the bottom ten percent of his class. By this time, he had developed a drinking habit that rivaled his parents, struggled with a quick temper,

and found himself in jail more than a few nights along the way. Inspired by the promise of the American dream, Stearns took control of his destiny. He became the first person in his family to attend college and graduated with a degree in economics from Towson University. Motivated by stories of peop

le who took risks and achieved their grandest ambitions, he boldly moved to California where he worked as a waiter and slept on the kitchen floor of a one-bedroom apartment that he shared with five other recent grads. All the while, Glenn continued to search for new opportunities to rise above his c

hallenges and dared to live his best life. In just under ten years and with no lending experience, Glenn formed his own mortgage company, Stearns Lending LLC, as well as a settlement company, Carriage Escrow. His settlement company soon became the largest HUD contractor in America. In 2002, Glenn’s

visionary success earned him Ernst and Young’s ＂Entrepreneur of the Year＂ Award.

反向房屋貸款加上長期照顧定價評估

為了解決Mortgage的問題，作者馬少鈞 這樣論述：

現今許多已開發國家都已進入高齡化社會，面臨到老年人口的扶養問題。為了解決這個困境，許多國家政府都在推動反向房屋貸款(Reverse Mortgage，RM)，可以讓老人將自己擁有的房產轉換成養老使用的年金，減少青壯人口的扶養負擔。而RM無法考慮到借款人的身體狀況，例如：可能生病或有慢性疾病需要人照顧，因此本篇論文以RM為基礎加上長期照顧(Long-Term Care，LTC)，評價具有提前解約選擇權RM加上LTC的公平價值。本論文假定利率期限結構服從Hull-White Model；狀態轉換機率引用 Kalbfleisch and Lawless (1984) 和傅鈺婷(2020)所計算出的

轉換機率；房屋價格使用為幾何布朗運動並假設利率與房價具有相關性。本篇論文提供兩種方式來計算公平可貸成數，一種為有將狀態細分(健康、輕度身障、中度身障、重度身障、極重度身障及死亡)，另一種是將狀態分成有無自理能力，以提供資料不足時，可以用不同的方式計算公平可貸成數。本篇論文對於合約的假設為，當借款人進入無自理能力(極重度身障)或死亡，則合約就終止。本篇論文除了計算RM加上LTC的公平可貸成數以外，還另外分析了不同參數（如：房價波動度、利率波動度、利率房價相關係數、平均利率水準、利率均值回歸率、保費率、房租率、解約懲罰金比例、長照成本、預定利率等）變化下的敏感性分析。本篇論文研究結果顯示，在無解約

情況下，使用兩種方式所計算出來的可貸成數相同，但若加入解約選擇權，使用狀態細分的可貸成數會低於只將狀態分成有無自理能力的，因為借款人在不同身體狀態會有不同的解約決策提高解約權的價值，保險公司須調低可貸成數來因應，此外，在有繼承人的狀況下，借款人不會有解約的動機，所以不影響可貸成數評價結果。