Page from Non-Military Ledger- 1811

A page from a non-military ledger that contains the prices of domestic items around the year 1811.

A. C. Thorburn Prescription Ledger

The gift plate in the front of the book indicates that the book is from Walker’s Drug Store, Niagara Falls, Ontario. Walker’s Drug Company was founded in 1925 by Ivan T. Walker. The dates of this book indicate that it is more likely to have come from A.C. Thorburn, Chemist and Druggist. A.C. Thorburn purchased Smith’s Pharmacy and Pursel and Company Dry Goods Store at the corner of Main Street and Lundy’s Lane in Niagara Falls, Ontario. In 1900, Pursel moved out and Thorburn’s Drug Store came into being. Ivan T. Walker, founder of Walker’s Drugs was employed by Thorburn Drugs in his teen years. The local doctors whose prescriptions are in the book include: J. H. McGarry; F.W.E. Wilson; C. F. Abraham; W.E. Olmsted; W.W. Thompson; Dr. Robb, dentist; Horace R. Elliot, physician and surgeon and Dr. Sutherland, eye, ear nose and throat specialist

Ledger of land sales

Ledger of land sales (soft cover ledger book). This notebook has the name S.D. Woodruff written within the front cover. It is filled with handwritten descriptions of land transactions which took place in Lincoln and Grantham Counties, 1864-1867, 1869-1872, 1875 1881, 1890.

Ledger for the Dominion Accountant

Ledger for the Dominion Accountant (soft cover) book-keeping book. The name H.K. Woodruff is in the front cover. Many of the pages are loose, or have been removed. [This is from Upper Canada College] 1877-1878.

Bright’s Wines Limited fonds, 1983-1989

One of the oldest wineries in Ontario, Bright’s Wines is now a part of Vincor International Inc. and still producing wines today. In the year 1874 Thomas G. Bright and Francis A. Shirriff came together in a partnership and formed a wine company in Toronto, Ontario. As the company began to prosper the gentlemen decided to move the location to Niagara, Ontario. Sixteen years later the Niagara Falls Wine Company opened on Dorchester Road. In 1911, Bright bought out all of Shirriff’s shares in the company and the name became the T. G. Bright and Co. Limited. A few years later in 1933 Harry C. Hatch bought the wine company from the Bright family and began changing how Bright’s operated through greater, more diverse wine production, as well as research and development. Bright’s leadership in wine research and development in Canada helped bring Canadian wines to their position of respect around the world. In 1934 Bright’s began a viticultural and vinicultural program, changing the way the Canadian wine industry worked. They put more money into research and development than any other winery in all of Canada. Soon, gold medals and “best of class” international designations were being awarded to Bright’s wines. As a result of their success, the founders soon discovered that they needed additional money to develop their business. So they borrowed money from a local bank and other lenders, or creditors, and used the funds to expand the business. Subsequent acquisition of other companies and consolidations in the wine industry led to the creation of Vincor International in 1993. Today, Vincor has established itself as a major participant in the North American super-premium wine market. By acquiring other companies, Vincor has fuelled growth in its sales from $114 million in 1995 to $654 million in 2005. The company’s success attracted the attention of its competitors. On September 27, 2005, Constellation Brands, Inc. announced its intention to buy Vincor and subsequently acquired the company in June 2006.

Determinants of bankruptcy protection duration for Canadian firms

The present thesis examines the determinants of the bankruptcy protection duration for Canadian firms. Using a sample of Canadian firms that filed for bankruptcy protection between the calendar years 1992 and 2009, we fmd that the firm age, the industry adjusted operating margin, the default spread, the industrial production growth rate or the interest rate are influential factors on determining the length of the protection period. Older firms tend to stay longer under protection from creditors. As older firms have more complicated structures and issues to settle, the risk of exiting soon the protection (the hazard rate) is small. We also find that firms that perform better than their benchmark as measured by the industry they belong to, tend to leave quickly the bankruptcy protection state. We conclude that the fate of relatively successful companies is determined faster. Moreover, we report that it takes less time to achieve a final solution to firms under bankrupt~y when the default spread is low or when the appetite for risk is high. Conversely, during periods of high default spreads and flight for quality, it takes longer time to resolve the bankruptcy issue. This last finding may suggest that troubled firms should place themselves under protection when spreads are low. However, this ignores the endogeneity issue: high default spread may cause and incidentally reflect higher bankruptcy rates in the economy. Indeed, we find that bankruptcy protection is longer during economic downturns. We explain this relation by the natural increase in default rate among firms (and individuals) during economically troubled times. Default spreads are usually larger during these harsh periods as investors become more risk averse since their wealth shrinks. Using a Log-logistic hazard model, we also fmd that firms that file under the Companies' Creditors Arrangement Act (CCAA) protection spend longer time restructuring than firms that filed under the Bankruptcy and Insolvency Act (BIA). As BIA is more statutory and less flexible, solutions can be reached faster by court orders.

Wiliam Van Every's Account with Grant Kerby - 1815-1816

Account ledger for Mr. William Van Every by Grant Kerby 1815-1816

James D. Tait Company Limited Fonds, 1890-1939 [non-inclusive]

James D. Tait (1836-1907) came to Canada in 1855 from Scotland. He worked in the dry goods business until he established the James D. Tait Company in 1864. The business was first located on Ontario street and specialized in furs. The business expanded to include dry goods and dress-making. After the building was destroyed by fire, Tait established and expanded the business into the Prendergast building on the corner of St. Paul and William Streets. James D. Tait died in 1907 while on vacation in Muskoka. In 1912 upon the resignation (or removal) of Benjamin Brick and Arthur Harbour, Stanley G. Smith joins the company as a director and secretary-treasurer. 1918/1919 vice-president E.J. Dignum dies. 1919 S.J. Inksater becomes a director of the company (His stock was purchased by the J.D. Tait Co.) By the 1930s the business, still in the same location, was under the leadership of Malcolm Stobie, President, Samuel J. Inksater, Vice-President and Stanley G. Smith, Secretary-Treasurer. The James D. Tait Company Limited ceased operations on 17 August 1933. The 1935 St. Catharines city directory records John Stobie, a former manager of the James D. Tait Company, operating a dry goods business at the same location, but with one-third the size of the original store space.

Using a Bayesian model for bankruptcy prediction : a comparative approach

The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To test the impact of the choice of cut-off points and sampling procedures, three bankruptcy prediction models are assessed- Bayesian, Hazard and Mixed Logit. A salient feature of the study is that the analysis includes both parametric and nonparametric bankruptcy prediction models. A sample of firms from Lynn M. LoPucki Bankruptcy Research Database in the U. S. was used to evaluate the relative performance of the three models. The choice of a cut-off point and sampling procedures were found to affect the rankings of the various models. In general, the results indicate that the empirical cut-off point estimated from the training sample resulted in the lowest misclassification costs for all three models. Although the Hazard and Mixed Logit models resulted in lower costs of misclassification in the randomly selected samples, the Mixed Logit model did not perform as well across varying business-cycles. In general, the Hazard model has the highest predictive power. However, the higher predictive power of the Bayesian model, when the ratio of the cost of Type I errors to the cost of Type II errors is high, is relatively consistent across all sampling methods. Such an advantage of the Bayesian model may make it more attractive in the current economic environment. This study extends recent research comparing the performance of bankruptcy prediction models by identifying under what conditions a model performs better. It also allays a range of user groups, including auditors, shareholders, employees, suppliers, rating agencies, and creditors' concerns with respect to assessing failure risk.

Account with W.M. Forbes, Grimsby, 1875

An account with W.M. Forbes dated April 1st, 1875 and amounting to $21.38. There is a line at the bottom of the receipt that reads "I don't care about any money but my creditors seem hard up".